Abhinav Upadhyay
Performance Engineer (Consultant) at Oxmiq Labs
Hyderabad, Telangana, India
Summary
👤
Senior🎓
Top SchoolAbhinav Upadhyay is a performance-focused software engineer with 15 years of experience spanning systems programming, backend, DevOps and ML roles, currently working on the OxPython interpreter at an AI hardware startup. He has a long-running commitment to NetBSD—starting as a Google Summer of Code student in 2011 and later becoming a committer—and has presented open-source work at AsiaBSDCon and EuroBSDCon. Comfortable diving into low-level internals like compilers, database engines and information retrieval, he prefers work where performance and concrete outcomes matter over abstract multi-layered business logic. A prolific open-source contributor, his improvements to projects such as IPython, Ubuntu, GNOME and Flask emphasize code quality and runtime efficiency. He also writes and consults through his outlet Confessions of a Code Addict, translating advanced CS research into practical guidance for engineers. Based in Hyderabad, he blends academic curiosity with a hands-on, production-first engineering style.
15 years of coding experience
11 years of employment as a software developer
Kendriya Vidyalaya SangathanB.Tech Information Technology, B.Tech Information Technology at Northern India Engineering College, Lucknow
Stackoverflow
2,515reputation
265kreached
50answers
17questions
Github Skills (11)
code-optimization10
ipython10
refactoring10
python10
notebook8
jupyter8
tomcat6
pandas6
dictionary6
layoutmanager6
java6
Programming languages (15)
Github contributions (5)
ipython/ipython
Sep 2013 - Oct 2013
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits in 5 days
Contributions summary:Abhinav contributed to the IPython project by implementing code optimizations and improvements. Their work included removing unreachable code, replacing file operations with 'with' statements for better resource management, and eliminating temporary variables. Furthermore, the user's commits focused on code refactoring, aiming to increase code clarity and efficiency by directly returning values from code blocks. These changes appear focused on code quality and performance.
ipythonjupyterdata-sciencenotebookpython
abhinav-upadhyay/cmonkey
Mar 2017 - Feb 2020
C Implementation of the monkey programming language
Contributions:208 commits, 156 pushes, 2 branches in 2 years 11 months
programming-languagecmonkeymonkey-languagecinterpreter
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