David Khosid

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• Large-Scale Machine Learning researcher and engineer. • Expert in designing and implementing reliable, maintainable software using C++ under Linux, with attention to performance, scalability and security. • Full stack developer of real-time software for scalable networks, video delivery and aerospace. • In-depth knowledge of mathematics and physics in various engineering fields; Prizewinner of International Competitions in Mathematics • I like to train Deep Neural Nets on large datasets Specialties: Expert knowledge of: • C++ (including STL, templates); • Software architecture, OOA/OOD, Design Patterns; • Multithreaded programming in Linux; • System integration, troubleshooting an...

machine learning data visualization t-sne deep learning anomaly detection; fault detection; machine learni software gdb debugging linux

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David Khosid

CC mmds talk 2106

Kaggle Otto Challenge: How we achieved 85th out of 3,514 and what we learnt

Promises of Deep Learning

Anomaly detection, part 1

Python for Image Understanding: Deep Learning with Convolutional Neural Nets

Bitcoin and Blockchain Explained: Cryptocitizen Smartnetwork Trust

Anomaly Detection

44CON 2014 - I Hunt TR-069 Admins: Pwning ISPs Like a Boss, Shahar Tal

A Practical Guide to Anomaly Detection for DevOps

Storage Visibility for Operations - A Ceph Story

GDC 2014 talk Haptics Android

Code to go Android

Droidcon berlin Apr2013

Advanced Debugging with GDB

Bits of Evidence