Akshay Khadse
AI Compiler Engineer, Staff at d-Matrix
Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolAkshay Khadse is an AI compiler engineer and staff-level software developer based in Toronto with 10 years of experience building high-performance compilers and developer tooling. He has a strong systems background in C++ and Python, a proven track record at Intel and MathWorks for shipping performance wins (including AVX-512VL support and a 50% vectorization speedup) and security hardening in LLVM/Clang. Known for rapidly adopting diverse technologies, he also excels at documenting large codebases and architectures—his “superpower” that makes complex systems easier to maintain. He routinely contributes to open-source LLVM and earned committer status after fixing critical functionality and hygiene issues. Akshay pairs customer-facing product sense with deep technical impact, from reducing code-generation times by 700% to eliminating classes of runtime attacks. Now established in Canada as a permanent resident, he focuses on compiler and AI toolchain engineering at the intersection of performance, security, and developer productivity.
10 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology BombayBachelor of Technology (B.Tech.), Electrical Engineering, Bachelor of Technology (B.Tech.), Electrical Engineering at Walchand College of Engineering, Sangli
English, Hindi, Marathi
Stackoverflow
1reputation
0reached
0answers
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Github Skills (37)
llvm10
office-addin10
reinforcement-learning10
toolchain10
compiler10
linear-programming10
onenote9
addin9
code-snippets9
convolutional-neural-networks9
hotkeys9
sliding9
64-bit9
syntax-highlighting8
linq7
Programming languages (5)
Github contributions (5)
akshaykhadse/wedm
Sep 2017 - Jul 2018
Contributions:61 commits, 125 pushes, 9 branches in 10 months
akshaykhadse/reinforcement-learning
Aug 2017 - May 2018
Implementations of basic concepts dealt under the Reinforcement Learning umbrella. This project is collection of assignments in CS747: Foundations of Intelligent and Learning Agents (Autumn 2017) at IIT Bombay
Contributions:42 commits, 30 pushes, 3 branches in 9 months
reinforcement-learningreinforcement-learning-excercisesreinforcement-learning-analysismulti-armed-banditsmultiarm-bandit
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