This document summarizes the skills and experience of Muhammad Farhan, an AI architect focusing on quality assurance. He has over 15 years of experience in software testing and delivery, especially using automation, AI/ML, and agile methodologies to improve quality. Some of his accomplishments include reducing defects by 70% and shortening release cycles through test automation and CI/CD integration.

1. Muhammad Farhan
AI Architect (Quality Assurance)
Highly responsible & naturally curious SQA professional
with over 15 years of demonstrated success, supported by strong
credentials of releasing commercially viable products and solutions to
customers in timely and cost effectively manner.
I spent more than 10,000 hours in software industry leading
teams, meeting challenging timelines, delivering complex feature-sets
within hybrid team delivery models, over last 5 years I have brought my
focus to add contextual intelligence, autonomous control and design
modularity in current QA landscape by leveraging AI ↗, Automation and
Machine Learning capabilities. Please see newsletter “AI accelerated
quality”↗ newsletter on LinkedIn.
• NLP application for Generative AI based LLM Model to scale up
test development, coverage and overall execution speed
• RAG and file embedding to serve specialized engineering copilot
cases , intended to add test effectiveness and reusability aspects.
• Better recovery and Less failovers with autonomous healing agents
• Enhancing observability and monitoring capability for application
analytics
o Self-Healing & supervised services
o Anomaly detection and event reporting
o Access to real-time and history data
o External data connectors for pulling data.
• By utilizing Machine Learning, acoustic and vision monitoring
o Recommendation Systems
o Predictive Analytics
o Inference engine / Anomaly Detection
Comprehensive, team player
I understand all of technical and domain-specific details, and able to
Collaborate and build mutual agreements across the board
• Speedy resolutions to common SDLC challenges
• Risk assessment, mitigation & management reporting
Key technology expert and team leadership roles at Siemens,
Mentor Graphics and Intech Process Automation
Practical, usable and repeatable automation
Apply continuous automation techniques and verification checkpoints
Within release workflows, testing pipelines and external source dependencies
to assure that deliverable meet timelines, and adhere to the highest standards
of quality, availability and maintainability.
Vulnerability management, Supply chain assurance &
Cybersecurity 2.0
Extensive knowledge & working experience in secured by design
format, I have performed detailed assessments, security goals, targets
definition, mitigation plan and continuous automated compliance
checks with NIST and OSWAP provided criteria / checklists.
Contact
+92 300 4028200
engr.farhan@icloud.com
GitHub ↗
LinkedIn ↗
Docker Hub ↗
Postman↗
DHA phase-1, Lahore, Pakistan
Education
BZU University (NFC IET)
• BSc (Egg) in Electronics
• 2003 – 2007
PAF Inter College lahore
• (FSc. Pre Engineering)
• 2001-2002
Top Skills
Competitive Advantage
Cross-team Collaboration
Product Lifecycle
Management (Continuous
Agile)
Machine Learning & Gen AI
Automation
Linux & Containerization
Top Programming
Languages
JavaScript: Hands-on with
frameworks like React,
Angular, and VueJs
Python: Widely used, also
scripting.
NodeJS development.
*Swift and Kotlin: For mobile
app development on iOS and
Android, respectively.
Professional Courses:
ISTQB Certified Tester
Test Management in Polarion↗
Mendix Adv. Developer↗
Application Development
Mindsphere (1 week onsite Erlagen
Germany) ↗
PMI ACP Training
CCNA / VOIP
Time Manager

2. • Identity and Access Right Management (Zero Trust and
TLS)
• Technical risk assessment and Project Risk classification
(TRA, PSS)
• Devices and application penetration score (Pen testing)
• Data privacy and confidentiality.(GDPR)
• Export & Custom control (ECC)
• compliant health & safety auxiliaries,
• Known providers’ checklists and best practices
Major Accomplishments
Planned and formulated the continuous quality strategy that resulted in a 70%
reduction in critical defects.
Implemented agile testing methodologies and CI/CD integration to
enhance testing efficiency and shorten release cycles.
Champion in Microsoft365 team applications:
o Spearheaded the adoption of unified channel for collaboration
and reporting to streamline test case management and
reporting.
Autonomous Fault Detection and Prediction: Implemented a
module capable of autonomously detecting and predicting sensor
and equipment/process faults in real-time, surpassing traditional
detection methods.
OPC Certification: Achieved OPC DA 2.0 and AE 1.01 certification
for IntelliMAX's OPC DA Server and A&E Server, ensuring
compliance with industry standards.
Interoperability: Ensured seamless interoperability between
IntelliMAX's OPC DA and AE clients, facilitating communication with
other systems and devices.
Zero Data Loss Historian: Designed Historian to guarantee zero
data loss in distributed architectures, handling large data flux
efficiently, including VTQs and alarms
Comprehensive Testing: Conducted rigorous stress, load, data
loss validation, sanity, and regression tests to ensure the reliability
and robustness of product under the test.
Product Launch: Successfully launched both beta and commercial
releases, simulating real plant environments using PLCs from major
vendors like Allen Bradley, Modicon, SCADA PACK, and GE.
Benchmarking: Benchmarked Data Historian against OSIsoft PI
through stress testing, focusing on data archiving and retrieval
capabilities
Decreased the number of security vulnerabilities in production
through automated scanning, patching, and proactive security
measures.
Test Case Reusability: Enhanced test case reusability by
optimizing test scripts, resulting in a 25% increase in the number of
test cases reused across projects.
Test Environment Stability: Achieved a test environment uptime of
99.8% by proactively addressing environment-related issues,
minimizing testing disruptions.
Test Environment Readiness: Met the operational requirements to
optimize the time required to provision QA Environments, The scope
of optimization covered deployment of 20 VMs simultaneously, all
these instances become available in Less than 2 minutes through
multi-container topology.
TECHNOLOGIES
Functional Applications
Embedded Systems &
Devices
Documentation Control
Version
API & Microservices
Distributed Systems
AI and Machine Learning
Application Infrastructure &
Middleware
Analytics & Modeling
OSS Clearance
Sensors
Platform as a Service (PaaS)
Networks & Connectivity
Processors & Edge Intelligence
Automation & Control
Robots
Wearables
Drones
CyberSecurity
Computer Software Validation (CSV)
Actuators
Linux based Controller and
Industrial IPC
Generative AI & LLM
RAG & Model Fine-tuning

3. Platform Engineering
AI and Machine Learning
WORK EXPERIENCE
GENISLAB TECHNOLOGIES
AI CONSULTANT QA (7 Months)
SEP-23 – Present
Quality targets definition and planning for MVP releases in continuous agile format.
Performed consultation, coordination and collaboration within QA and customer
Generative AI
Copilot / NLP Chabot
Autonomous
Agents & workflows
Writing and executing effective
test cases and matrices
(decision tables).
Data Testing (Analysis)– Testing
different features and modules
including different types of
data.
Team and task management to
ensure risk-free and client-
compliant project delivery.
Digital Industries Factory Automation
PLM AGILE EXPERT (QUALITY) (12 MONTHS)
SEP-2022 - SEP-2023
Led the overall QA activities for the AI and ML software product line
which involves numerous GA product releases and various services
projects
o Product technical risk assessments, identification and
mitigation
o Product requirements analysis and maintain traceability
o Collaborated closely with product managers, developers, and
stakeholders to align testing efforts with project goals and user
expectations
Identified missing scenarios, interoperability and integration cases in
product specifications, provided improvements and functional
feedback.
Created project plans for different product releases, test automation
and services projects
Reported daily, weekly, sprint retrospective, bi-monthly progress,
defects status, release metrics to management
o Provided training and support to team.
Technologies &
Process
• Fine Tuning
• Integrations
• Plugins
• Responsible AI
• Result sets
Knowledge-
base & LLM
Models
• Multi-model
connections
• Mistral7b / Lamma /
Azure
• Knowledge base and
external connections
• RAG (Local File
storage)
• Embedding
• OpenAI integration
• Training Datasets
• Acceptance Criteria
Test
acceleration
Copilot
Use Cases
• Discovery Use-case
• Identify agents
functions
• Validate and Quantify
model data
• Prompts development
Application Testing Skills
Web, Desktop and Mobile
• White Box, Black Box
• Grey Box testing
Functional / Non-Functional Testing.
Smoke, Sanity, Regression,
Cybersecurity, Penetration & NFR
Integration, Compatibility Testing.
Performance testing
Load and Stress testing.
Security / Penetration testing
Analytical Prioritization
Documentation
Test Case designing, execution
Writing RF/FS and User Manuals.
Tools and Software
Postman / Newman
Selenium
ReadyAPI / SoapUI
Playwright
Cypress
Cucumber/Jasmine
Protractor/ Appium
Robot Framework
Katalon Studio.
Microsoft365
Database Skills
MS SQL Server/ MySQL
MogoDB, Sqlite
PostGres / Cassandra
Techniques
Continuous Improvement
Agile Methodologies toolkit
Effective Communication
Problem Solving:
• Analyzing issues and finding
Critical thinking
Adaptability and openess
Version Control System
OSS Clearance
Root Cause Analysis
Programming & Scripting
Continuous Test & Integration
(Automation)
Platform Engineering (Containers)
Environment & Configuration
Management
Virtual Hardware &
Software Simulations
CONTINUOUS INTEGRATION &
DEPLOYMENT
- Automated sanity tests
- Automated acceptance tests
- Automated performance tests
- Automated security tests
- Automated provisioning and deployment
to testing environments
- Automated deployment toproduction

4. Digital Industries Software (Technology & Innovation)
TEAM LEAD QA (< 5 YEARS)
OCT-2017- SEP-2022
⬛ Played a key role in executing on the IoT Software Platform test
automation strategy, driving quality and testability of built over AWS.
Managed resource allocation and developed cost-effective test plans
meeting client requirements.
o Enabled integrated team’s environment and tooling-chain for
faster collaboration
Product coverage analysis and test cases review
o Test automation frameworks design and implementation
o Processes development, implementation and improvements
o Managed Jira for sprint monitoring and client interaction
 Increased work visibility through interconnected task
management workflow.
o Correspondence on issues with development teams and
customers
Established management dashboard and reporting.
Tracked and ensured compliance with requirements throughout
SDLC, status reporting and ensuring quality release
A fully automated test deployment workflow↗ initiated right from the
SlackUI, This custom test utility was composed on three
containerized based micro-services, The deployment recipe was
written in YAML, and provided as input recipe through slack UI
Mentor Graphics Inc (www.mentor.com)
Cloud Service Platform - SLE
SENIOR TECHNICAL LEAD (< 2.5 YEARS)
APR-2015 – SEP-2017
Developed test plans and test procedures for testing of all
components at module, system and integration levels, performing
risk analysis when required.
Adherence to exiting processes, identifying process gaps and
proposing improvements.
o Assisted project and product teams to increase test
effectiveness and coverage, while reducing the cost of test
execution.
Ensuring requirement compliance in SDLC, identifying specifications
gaps, taking follow-up and reviews to ensure timely, quality results.
o Led the execution of test cases through both automated and
manual tests.
Collaborating with stakeholders to defining and managing sprints
using Jira. Creating and sharing status reports with management.
o Owned quality reporting, defect diagnostics, and software
release sign-off.
Conducting user acceptance demos with clients and engaging with
remote teams on daily assignments.
o Provided training and support to team members.
Projects
Machine Learning and Flow Manager
(Framework to develop AI apps)
ORION - (Machine learning model
training runtime)
IntelliMAX (Industrial Automation &
HMI Software)
CSP - Cloud Services Platform
Distributed Intelligence
IoT Device Management
M3 - Machine Monitoring &
Management
OEE (Overall equipment efficiency)
OPC server & client compliance
DA/HAD
PLC Alarming
Plant Assets Ontology ISA95
Plant Information Management
System - SCADA Historian
Product security Cyber threat & risk
assessment
SCADA hot redundant Server & Client
Switchover
Simulation Twin Lab
Transfer of Technology
PLM Management
For more details on projects you may
please
Visit following links
(Projects | Show All (notion.site))
And
(https://www.linkedin.com/in/engr-
farhan/details/projects/)

5. (www.intechww.com)
QUALITY ASSURANCE MANAGER (5.5 YEARS)
JUL 2009- APR 2015
Innovated sellable quality product
o I contributed to IntelliMAX's success as a cutting-edge solution
and marketable product for industrial applications.
Team and Task Management - Developed and implemented
strategic plans for risk-free, client-compliant delivery.
o As a central liaison, I facilitated collaboration among
development teams, architects, documentation specialists,
project managers, commercial teams, and quality assurance
groups.
o Led software testers and field engineers, I crafted robust
validation strategies, ensuring the reliability of mission-critical
industrial systems..
Tracked and traced requirements specifications throughout SDLC.
Identified and suggested revisions to existing quality standards and
processes.
Imperious Technologies (www.imperioustech.com)
APPLICATION ENGINEER (> 2 YEARS)
Sep 07- July 09
⬛Wrote test scripts to assess software quality, and develops automated
test reporting to increase overall product validation process.
Implemented health checks for deployed services, also update
documentation for this runbook.
Simulate tag values, alarm event, and historical data for OPC
UA server compliance testing
REFERENCE
References are available on request