Dilnoza Bobokalonova is a software engineer with experience in backend systems, embedded systems, and machine learning. She has worked as a software engineer at Coursera building backend systems and as a data scientist developing natural language processing and machine learning models. She is currently pursuing embedded systems engineering and developing projects in Rust.
Dilnoza Bobokalonova is a software engineer with experience in backend systems, embedded systems, and machine learning. She has worked on projects involving Scala, Java, Rust, C, and Python. Her background includes building deep learning models, implementing robust backend systems, and leveraging Rust in various contexts. She is seeking opportunities to advance as an engineer in the space industry.
Duc M. Le is a PhD candidate in computer science at USC studying software architecture and mining software repositories. He has experience in software design, development, and data mining. His research focuses on analyzing architectural changes in open source software systems and predicting potential bugs. He has worked as an intern at several companies including NEC Labs, Veritas, and Samsung Research America.
Sangamitra Katamreddy has over 3 years of experience in Java, Python, C/C++, and full stack development. She has a Master's in Electrical Engineering from George Mason University and a Bachelor's in Electrical and Communication Engineering. Her skills include Java, AngularJS, JavaScript, Python, C/C++, VHDL, Verilog, Oracle Apex, SQL, and PL/SQL. She has worked as a junior software developer at Pype developing web applications using RESTful APIs and Apex. Previously she interned at Pype and George Mason University conducting research on side channel analysis and GitHub APIs.
This document is a resume for Dilnoza Bobokalonova that highlights her education and skills in electrical engineering, computer science, and data science. It summarizes her relevant coursework, projects, and work experience utilizing natural language processing, machine learning, and deep learning techniques. Her experience includes developing models to analyze patent data and predict future trends, as well as training students in programming languages and research. She has strong skills in languages like Java, Python, and C/C++ and technologies such as TensorFlow, Spark, and MongoDB.
Satwik Mishra has a Master's in Computer Science from Rochester Institute of Technology and a Bachelor's in Information Technology from Manipal Institute of Technology. He currently works as a fullstack software engineer at Roc360, where he builds internal and client-facing applications using Java Spring Boot and React JS. Previously he interned at Trimble Inc and Apollo Munich Health Insurance, gaining experience in fields like data science, predictive modeling, and geospatial technologies. His technical skills include Python, Java, C++, AWS, machine learning algorithms, and frameworks like TensorFlow and PyTorch. He has completed projects in areas such as handwritten math expression recognition, relational database design, multithreading, medical image analysis using deep learning, and
Nagapandu Potti seeks a software engineering role that utilizes his technical skills. He has strong skills in Java, C, C++, Ruby, Scala, C#, databases like MySQL and MongoDB, web development technologies like JavaScript, AngularJS, and Ruby on Rails. He has work experience developing applications using these skills at Citrix and Cerner. Potti has a Master's degree in Computer Science from the University of Florida and a Bachelor's degree in Computer Science from Manipal University.
Padma Brundavanam completed a Master's degree in Electrical and Computer Engineering from Carleton University in Ottawa, Canada, where coursework included internetworking, telemedicine, software engineering, and distributed systems. She holds a Bachelor's degree in Information Technology from GITAM University in Visakhapatnam, India. Skills include Java, C, C++, Python, UML, SQL, networking protocols, cloud computing, and operating systems. Relevant experience includes internships developing web forums using Java and content creation for computer science students. Projects include comparing intrusion detection tools, creating a semantic similarity tool, and developing distributed system and online store prototypes.
Padma Brundavanam has a Master's degree in Electrical and Computer Engineering from Carleton University in Ottawa, Canada and a Bachelor's degree in Information Technology from GITAM University in Visakhapatnam, India. Their experience includes projects in areas like SDN, network intrusion detection, semantic analysis, and e-commerce. They have skills in languages like Java, C, C++, Python and technologies like UML, SQL, Docker, and networking protocols. Padma Brundavanam is currently learning Python and working towards a CCNA certification.
Dilnoza Bobokalonova is a software engineer with experience in backend systems, embedded systems, and machine learning. She has worked on projects involving Scala, Java, Rust, C, and Python. Her background includes building deep learning models, implementing robust backend systems, and leveraging Rust in various contexts. She is seeking opportunities to advance as an engineer in the space industry.
Duc M. Le is a PhD candidate in computer science at USC studying software architecture and mining software repositories. He has experience in software design, development, and data mining. His research focuses on analyzing architectural changes in open source software systems and predicting potential bugs. He has worked as an intern at several companies including NEC Labs, Veritas, and Samsung Research America.
Sangamitra Katamreddy has over 3 years of experience in Java, Python, C/C++, and full stack development. She has a Master's in Electrical Engineering from George Mason University and a Bachelor's in Electrical and Communication Engineering. Her skills include Java, AngularJS, JavaScript, Python, C/C++, VHDL, Verilog, Oracle Apex, SQL, and PL/SQL. She has worked as a junior software developer at Pype developing web applications using RESTful APIs and Apex. Previously she interned at Pype and George Mason University conducting research on side channel analysis and GitHub APIs.
This document is a resume for Dilnoza Bobokalonova that highlights her education and skills in electrical engineering, computer science, and data science. It summarizes her relevant coursework, projects, and work experience utilizing natural language processing, machine learning, and deep learning techniques. Her experience includes developing models to analyze patent data and predict future trends, as well as training students in programming languages and research. She has strong skills in languages like Java, Python, and C/C++ and technologies such as TensorFlow, Spark, and MongoDB.
Satwik Mishra has a Master's in Computer Science from Rochester Institute of Technology and a Bachelor's in Information Technology from Manipal Institute of Technology. He currently works as a fullstack software engineer at Roc360, where he builds internal and client-facing applications using Java Spring Boot and React JS. Previously he interned at Trimble Inc and Apollo Munich Health Insurance, gaining experience in fields like data science, predictive modeling, and geospatial technologies. His technical skills include Python, Java, C++, AWS, machine learning algorithms, and frameworks like TensorFlow and PyTorch. He has completed projects in areas such as handwritten math expression recognition, relational database design, multithreading, medical image analysis using deep learning, and
Nagapandu Potti seeks a software engineering role that utilizes his technical skills. He has strong skills in Java, C, C++, Ruby, Scala, C#, databases like MySQL and MongoDB, web development technologies like JavaScript, AngularJS, and Ruby on Rails. He has work experience developing applications using these skills at Citrix and Cerner. Potti has a Master's degree in Computer Science from the University of Florida and a Bachelor's degree in Computer Science from Manipal University.
Padma Brundavanam completed a Master's degree in Electrical and Computer Engineering from Carleton University in Ottawa, Canada, where coursework included internetworking, telemedicine, software engineering, and distributed systems. She holds a Bachelor's degree in Information Technology from GITAM University in Visakhapatnam, India. Skills include Java, C, C++, Python, UML, SQL, networking protocols, cloud computing, and operating systems. Relevant experience includes internships developing web forums using Java and content creation for computer science students. Projects include comparing intrusion detection tools, creating a semantic similarity tool, and developing distributed system and online store prototypes.
Padma Brundavanam has a Master's degree in Electrical and Computer Engineering from Carleton University in Ottawa, Canada and a Bachelor's degree in Information Technology from GITAM University in Visakhapatnam, India. Their experience includes projects in areas like SDN, network intrusion detection, semantic analysis, and e-commerce. They have skills in languages like Java, C, C++, Python and technologies like UML, SQL, Docker, and networking protocols. Padma Brundavanam is currently learning Python and working towards a CCNA certification.
Narasimha Dhanireddy is seeking an entry-level position in ASIC design and verification. He has a Master's degree in Computer Engineering from North Carolina State University and a Bachelor's degree in Electronics and Communication Engineering from Vellore Institute of Technology. He has strong skills in programming languages like C, C++, Verilog, and SystemVerilog. He has experience with design tools like ModelSim, Synopsys Design Compiler, and verification tools like SystemVerilog. Some of his projects include functional verification of an LC3 microcontroller using SystemVerilog, designing Bellman-Ford algorithm using Verilog, and developing a Twitter sentiment analysis tool using Python.
David Sacerdote has over 15 years of experience as a software engineer working on problems involving large-scale systems and distributed databases. He has worked at Facebook improving their content delivery network, Cisco working on BGP routing protocols, and held internships at Sun Microsystems and his own startup. He has a bachelor's degree in computer science from Cornell University and holds one patent with another pending.
Srividhya Krishnaswamy has over 14 years of experience in software development, testing, and project management. She has expertise in C, Linux, and Unix operating systems and has worked on projects involving storage, networking, backup/restore systems, and security protocols. Currently she is a Project Leader at Wipro Technologies where she has led several projects involving middleware systems, backup software, and static code analysis platforms.
Akin Oyedele is seeking a position in software development that offers challenge, responsibility, and career growth. He has over 10 years of experience in software engineering, including web development, object-oriented programming, and integrating multi-threaded applications. Currently a Senior Software Engineer at Raytheon, his responsibilities include developing radar processor software for military aircraft and conducting software testing.
Anil Kumar Thyagarajan is a senior software engineer with over 15 years of experience in areas like big data analytics, cloud computing, payment gateways, and supply chain products. He is currently a senior data engineer at Microsoft working on their Azure HDInsight platform. Previously he held roles at Nokia, Yahoo, and AOL where he led teams and worked on projects involving Hadoop, Amazon Web Services, data migration, monitoring tools, and distributed systems. He has expertise in technologies like Perl, Java, Python, Linux, Hadoop, Spark, and Amazon Web Services.
Yanwen Lin has a Master of Science in Intelligent Information Science from Carnegie Mellon University with a GPA of 3.8/4.0 and a Master of Science in Civil and Environmental Engineering from Carnegie Mellon University with a GPA of 3.9/4.0. He received a Bachelor of Engineering in Civil Engineering from Dalian University of Technology with a GPA of 3.8/4.0. His professional skills include programming languages such as Java, Python, C, Scala, and tools such as AWS, PyTorch, Hadoop, Spark and databases such as MySQL, MongoDB. He has work experience in backend development and data analysis projects.
Alex Kondrachuk has over 15 years of experience as a software developer and programmer specializing in .NET development using C# and SQL Server. He has extensive experience developing web and desktop applications for clients in various industries. Currently, he works as a senior software developer where he is responsible for programming, testing, and maintaining applications.
Powering Data Science and AI with Apache Spark, Alluxio, and IBMAlluxio, Inc.
This document discusses achieving separation of compute and storage in a cloud world. It introduces Spectrum Computing which provides a storage-independent compute platform called Spectrum Conductor. Spectrum Conductor uses intelligent workload scheduling to maximize Spark performance and increase throughput compared to other resource managers like YARN and Mesos. It also allows flexible sharing of resources across workloads while maintaining service level agreements. The document also discusses how Spectrum Conductor can burst workloads to external cloud providers and provide a multi-tenant shared infrastructure for running Spark and other analytics frameworks at scale.
Naveen Narasimhaiah is seeking a full-time position utilizing his technical and analytical skills. He has a Master's degree in Electrical Engineering from UMKC with a 3.9 GPA and Bachelor's degree in Electronics and Communication Engineering from India. His experience includes internships performing LTE testing, developing wireless devices, and providing IT support. He has skills in wireless communications standards, networking protocols, and programming languages. His projects involve analyzing RF propagation, dynamic spectrum allocation, and routing protocols.
This document is a resume for Monish R summarizing his experience as a Senior Software Engineer. He has over 5 years of experience working with technologies like NoSQL, HDFS, MapReduce, HBase and Java/J2EE. He has worked on projects at Ericsson India involving building horizontally scalable data warehousing solutions processing millions of records per day. His roles have included designing solutions, writing code, managing teams, and conducting testing. He aims to obtain a position as a Team Lead with a focus on big data technologies like Hadoop.
Lavina Chandwani has an M.S. in Electrical and Computer Engineering from Carnegie Mellon University and B.E. in Electrical and Electronics Engineering from Birla Institute of Technology & Science. She has experience in software including MATLAB, Cadence, C, Java, Python, Verilog, and SystemVerilog. At CMU, she worked on projects involving OpenMP optimization, real-time kernel development, motor control, and an HTTP proxy server. Previously, she tested packet optical transport equipment at Tejas Networks and designed Verilog models and algorithms for multiphase converters at Texas Instruments.
Azure 機器學習 - 使用Python, R, Spark, CNTK 深度學習 Herman Wu
The document discusses Microsoft's Cognitive Toolkit (CNTK), an open source deep learning toolkit developed by Microsoft. It provides the following key points:
1. CNTK uses computational graphs to represent machine learning models like DNNs, CNNs, RNNs in a flexible way.
2. It supports CPU and GPU training and works on Windows and Linux.
3. CNTK achieves state-of-the-art accuracy and is efficient, scaling to multi-GPU and multi-server settings.
Tejas Bichave is a software professional with over 3 years of experience in Python, Java, and testing tools like Postman. He has worked on projects involving resource adapters, advertisement portals, auto provisioning servers, and cryptographic algorithm development. He holds an M-Tech in computer science and has published papers on caching techniques. He is seeking a new role where he can apply and grow his technical skills.
Architecting an Open Source AI Platform 2018 editionDavid Talby
How to build a scalable AI platform using open source software. The end-to-end architecture covers data integration, interactive queries & visualization, machine learning & deep learning, deploying models to production, and a full 24x7 operations toolset in a high-compliance environment.
Ramnarayan Krishnamurthy is seeking a full-time position as a software/firmware engineer starting in August 2016. He has a Master's degree in Electrical Engineering from the University of Colorado, Boulder and a Bachelor's degree in Electrical Engineering from BITS Pilani in India. His skills include programming in C, C++, OpenCV, CUDA, and MATLAB as well as experience with embedded systems, image processing, and GPU programming. He has internship experience in barcode detection and defect detection and has worked as a senior analyst at Wells Fargo.
Alberto D. Cappa Cermeño is a computer science and engineering student at the University of Puerto Rico - Mayagüez Campus. He has work experience as a software engineer intern at JPMorgan Chase & Co. where he developed full stack applications using ReactJS, Typescript, Java, and deployed containers to Kubernetes. Additionally, he led a food computing team as project manager to develop an automated hydroponic prototype using Agile methodology. His skills include programming languages like Python, Java, and JavaScript as well as software like AWS, Git, and machine learning frameworks.
The CBC machine is a common diagnostic tool used by doctors to measure a patient's red blood cell count, white blood cell count and platelet count. The machine uses a small sample of the patient's blood, which is then placed into special tubes and analyzed. The results of the analysis are then displayed on a screen for the doctor to review. The CBC machine is an important tool for diagnosing various conditions, such as anemia, infection and leukemia. It can also help to monitor a patient's response to treatment.
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Narasimha Dhanireddy is seeking an entry-level position in ASIC design and verification. He has a Master's degree in Computer Engineering from North Carolina State University and a Bachelor's degree in Electronics and Communication Engineering from Vellore Institute of Technology. He has strong skills in programming languages like C, C++, Verilog, and SystemVerilog. He has experience with design tools like ModelSim, Synopsys Design Compiler, and verification tools like SystemVerilog. Some of his projects include functional verification of an LC3 microcontroller using SystemVerilog, designing Bellman-Ford algorithm using Verilog, and developing a Twitter sentiment analysis tool using Python.
David Sacerdote has over 15 years of experience as a software engineer working on problems involving large-scale systems and distributed databases. He has worked at Facebook improving their content delivery network, Cisco working on BGP routing protocols, and held internships at Sun Microsystems and his own startup. He has a bachelor's degree in computer science from Cornell University and holds one patent with another pending.
Srividhya Krishnaswamy has over 14 years of experience in software development, testing, and project management. She has expertise in C, Linux, and Unix operating systems and has worked on projects involving storage, networking, backup/restore systems, and security protocols. Currently she is a Project Leader at Wipro Technologies where she has led several projects involving middleware systems, backup software, and static code analysis platforms.
Akin Oyedele is seeking a position in software development that offers challenge, responsibility, and career growth. He has over 10 years of experience in software engineering, including web development, object-oriented programming, and integrating multi-threaded applications. Currently a Senior Software Engineer at Raytheon, his responsibilities include developing radar processor software for military aircraft and conducting software testing.
Anil Kumar Thyagarajan is a senior software engineer with over 15 years of experience in areas like big data analytics, cloud computing, payment gateways, and supply chain products. He is currently a senior data engineer at Microsoft working on their Azure HDInsight platform. Previously he held roles at Nokia, Yahoo, and AOL where he led teams and worked on projects involving Hadoop, Amazon Web Services, data migration, monitoring tools, and distributed systems. He has expertise in technologies like Perl, Java, Python, Linux, Hadoop, Spark, and Amazon Web Services.
Yanwen Lin has a Master of Science in Intelligent Information Science from Carnegie Mellon University with a GPA of 3.8/4.0 and a Master of Science in Civil and Environmental Engineering from Carnegie Mellon University with a GPA of 3.9/4.0. He received a Bachelor of Engineering in Civil Engineering from Dalian University of Technology with a GPA of 3.8/4.0. His professional skills include programming languages such as Java, Python, C, Scala, and tools such as AWS, PyTorch, Hadoop, Spark and databases such as MySQL, MongoDB. He has work experience in backend development and data analysis projects.
Alex Kondrachuk has over 15 years of experience as a software developer and programmer specializing in .NET development using C# and SQL Server. He has extensive experience developing web and desktop applications for clients in various industries. Currently, he works as a senior software developer where he is responsible for programming, testing, and maintaining applications.
Powering Data Science and AI with Apache Spark, Alluxio, and IBMAlluxio, Inc.
This document discusses achieving separation of compute and storage in a cloud world. It introduces Spectrum Computing which provides a storage-independent compute platform called Spectrum Conductor. Spectrum Conductor uses intelligent workload scheduling to maximize Spark performance and increase throughput compared to other resource managers like YARN and Mesos. It also allows flexible sharing of resources across workloads while maintaining service level agreements. The document also discusses how Spectrum Conductor can burst workloads to external cloud providers and provide a multi-tenant shared infrastructure for running Spark and other analytics frameworks at scale.
Naveen Narasimhaiah is seeking a full-time position utilizing his technical and analytical skills. He has a Master's degree in Electrical Engineering from UMKC with a 3.9 GPA and Bachelor's degree in Electronics and Communication Engineering from India. His experience includes internships performing LTE testing, developing wireless devices, and providing IT support. He has skills in wireless communications standards, networking protocols, and programming languages. His projects involve analyzing RF propagation, dynamic spectrum allocation, and routing protocols.
This document is a resume for Monish R summarizing his experience as a Senior Software Engineer. He has over 5 years of experience working with technologies like NoSQL, HDFS, MapReduce, HBase and Java/J2EE. He has worked on projects at Ericsson India involving building horizontally scalable data warehousing solutions processing millions of records per day. His roles have included designing solutions, writing code, managing teams, and conducting testing. He aims to obtain a position as a Team Lead with a focus on big data technologies like Hadoop.
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Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
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Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
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Dilnoza Bobokalonova Resume | Embedded Systems Engineering | Backend Software Development | Rust Programming
1. Dilnoza Bobokalonova
SOFTWARE ENGiNEER · BACKEND & EMBEDDED SYSTEMS
917.592.2825 | dilnoza1@berkeley.edu | tinyurl.com/DilNova | dilnozabobokalonova1 | dilnozabobokalonova1
Summary
I thrive in challenging environments and am deeply passionate about learning and engineering critical systems. Over the past 8 months, I’ve
worked on acquiring skills in embedded systems, exploring space technology, and developing whitehat projects in Rust. My background is in
building Deep Learning & NLP models at Berkeley, developing robust backend software systems at Coursera, and leveraging Rust in various con‑
texts. I am now in search of my next opportunity to advance and grow as both an engineer and leader.
Education
University of California, Berkeley Berkeley, CA
MASTER OF ENGiNEERiNG iN ELECTRiCAL ENGiNEERiNG AND COMPUTER SCiENCE | DATA SCiENCE & SYSTEMS Aug. 2018 ‑ May 2019
University of Miami Coral Gables, FL
B.S. iN COMPUTER SCiENCE | MiNORS iN MATHEMATiCS & INTERNATiONAL STUDiES Aug. 2014 ‑ May 2018
Skills
Programming/Scripting Rust, Scala, Embedded C, Java, Python, LISP, Prolog, Bash, MATLAB, LaTeX, Dart, JavaScript, HTML/CSS
Dev, ML & Technologies Jenkins, Docker, ZooKeeper, Tensorflow, NLTK, Kafka, DynamoDB, ElasticSearch, KiCAD, Terraform, AWS
Languages Russian, Tajik, English
Work Experience
Coursera Mountain View, CA
SOFTWARE ENGiNEER Jun. 2019 ‑ May. 2023
• Architected and implemented robust backend systems for products within the Coursera platform, constructing numerous APIs (REST in Scala,
gRPCinJava)andmaintainingthereliableoperationandhealthofownedservicesusingvarioustools. (Jenkins,Sumo,R2,ZooKeeper,DataDog)
• Authored in‑depth system design and architecture documents of services for high‑profile company projects. Identified & worked around edge‑
cases early, achieving consensus across legal, product and enterprise teams.
• Served as Lead Engineer for a critical company project (LevelSets) in 2021‑2022. Designed and implemented service architecture, addressed
stakeholder, product and cross‑functional team requirements, and presented project’s progress & launch outcomes during company‑wide calls
to ensure transparency and alignment across teams. (Scala, REST, DynamoDB, Cassandra, Sagemaker)
• IntroducedsignificantmodificationstoCoreLearnerlegacycode(Scala), cuttingerrorratesby35%, eliminatingtimeouts, andincreasingsystem
reliability with unit & E2E testing; enhanced resource utilization, leading to a 5% reduction of monitoring costs.
• Drove the migration of critical backend services from Scala to Java during polyglot programming adoption. Moved APIs from RESTful to gRPC,
upgraded the data stores, and unified complex business logic across services, achieving a 2x increase in system scalability.
• Led and extensively documented a strategic reorganization of on‑call groups during Engineering reorganization, optimizing multi‑teams new
scheduling efficiency and ensuring seamless transition during company’s pivotal phase in 2021. (PagerDuty, SumoLogic, DataDog)
• Collaborated closely with the Data Science team utilizing my background in machine learning to ensure a smooth integration of ML models
with Learner & Skills backend services. Called out engineering constraints early and consistently accelerated project timelines.
• Identified, addressed, and documented gaps within the engineering stack of another team during a 3‑month embed in 2022, giving a new path
for the goal project and redirecting the project’s focus towards a viable solution after my leave.
UC Berkeley Coleman Fung Institute for Engineering Leadership Berkeley, CA
DATA SCiENTiST & NATURAL LANGUAGE PROCESSiNG DEVELOPER Jun. 2018 ‑ May. 2019
• Utilized powerful natural language processing and machine learning techniques to analyze the technology development of autonomous vehi‑
cles (AV) industry, specifically LIDAR technology.
• Implemented document similarity analysis to expand 1 patent seed to a pool of 1000 similar patents drawn from the AV data of 40000 patents,
producing insight into the competitive landscape & innovation AV trends.
• Developed predictive models, such as Support Vector Machines, Random Forest and LSTM neural networks, to project the quantity and spatial
distribution of future patents across 244 distinct CPC classes for the 2019‑2020 quarters, achieving an accuracy rate of 96.1%.
• Utilized K‑means and LDA techniques to extract 5 clusters within the AV space, identifying major areas for technological investment.
• Performed dimensionality reduction (PCA) to convert an original 33k‑feature vector to 3D and visualize the future patent space of LIDAR in VR.
Projects
Rust BCL (Berkeley Container Library) Berkeley National Laboratory, CA
RUST iN DiSTRiBUTED COMPUTiNG USiNG OPEN MPI | CORi SUPERCOMPUTER Jan. 2019 ‑ May. 2019
• Developed the Rust Berkeley Container Library (RBCL) designed specifically for high‑performance distributed computing environments, lever‑
aging the power and scalability of the Cori supercomputer at the Lawrence Berkeley National Laboratory.
• Implemented RBCL’s infrastructure, integrating MPI communication protocol and shared memory managementtechniques (atomic operations,
global pointer management, and guarding) to ensure safe and efficient data sharing, synchronization, and threading across distributed nodes.
• Performed rigorous scalability tests to assess RBCL’s ability to efficiently scale across processor nodes on Cori, optimizing communication, data
partitioning strategies, and load balancing to support efficient scaling up to 500+ nodes.
• Benchmarked Rust BCL under varying degrees of parallelism and cluster sizes to test throughput, latency, and resource utilization, ensuring
optimal performance as the system scales and surpassing the performance benchmarks of BCL’s C++ counterpart.
FEBRUARY 16, 2024 DiLNOZA BOBOKALONOVA · RÉSUMÉ 1
2. Embedded Systems Engineering University of California, San Diego
HARDWARE DESiGN, ARM, STM32, HAL, BSP & BAREMETAL | FPGA XiLiNX ZYNQ‑7000 Jun. 2023 ‑ PRESENT
• Developed bare‑metal drivers for the STM32F3 series including I2C, SPI, UART, GPIO, Timer, and Systick to gain an in‑depth understanding of
the STM32 board and ARM Cortex‑M4 core.
• Advanced to implement the interrupt programming in bare‑metal across UART, GPIO, ADC, Systick, and Timer modules, integrating DMA con‑
troller techniques for optimized data transfer.
• Designed and verified an embedded systemusing STM32L4microcontroller; developed comprehensiveschematicsin KiCAD, conductedsensor
tests, and produced BOM and Netlist for a robust hardware setup.
• Soldered an 8‑pin connector to the FRAM PCBA (MB85RS64V) for integration with the IoT board’s SPI Interface, effectively isolating the FRAM
module’s communication channel from other peripherals.
• Currently learning FPGA Hardware design with the Xilinx Zynq platform by programming Red Pitaya STEMLab 125‑14 board in Verilog.
WhiteHat & Rust Notion | GitHub
ASYNC, THREAD CONCURRENCY, PORTS DiSCOVERY & EXPLOiTS Jan. 2023 ‑ PRESENT
• Developed a multi‑threaded scanner in Rust with rayon to discover vulnerable open ports for a set of given subdomains and IP addresses.
• Optimized the original scanner by transitioning from multi‑threading to async programming using the Tokio Rust runtime, lowering scanner’s
context‑switching latency by 8.5x.
• Implemented a multi‑purpose web crawler using async, inter‑thread communication, and atomics in Rust to scrape GitHub Org users, JS Web
Apps & extract cool CVE data. Incorporated fault‑tolerant mechanisms to gracefully handle network failures.
• Rewrote a Python‑based exploit in Rust to expose vulnerabilities in mirror repository URL settings. It logs into a system, sets up a temporary Git
repo, and uses Actix Web for file serving, revealing the critical risk of remote code execution (CVE‑2019‑11229).
Deep Learning Specialization deeplearning.ai
TENSORFLOW, NLTK, PANDAS | 12 PROJECTS TOTAL Aug. 2017 ‑ May. 2018
• Developed a car detection algorithm for autonomous driving using You Only Look Once (YOLO) model containing over 50 million parameters
able to detect 80 different classes in an image.
• Created a face recognition system to map face images into 128‑dimensional encodings for accurate element‑wise comparison.
• Built a Neural Machine Translation model to translate human readable dates into machine‑readable dates by using a sequence‑to‑sequence
model.
• Synthesized & processed audio recordings to create a dataset used to implement an algorithm for trigger word detection.
FEBRUARY 16, 2024 DiLNOZA BOBOKALONOVA · RÉSUMÉ 2