Ashutosh Varma
Team Lead (Core L2) at Startale
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolAshutosh Varma is a seasoned blockchain engineer and team lead with a decade of experience building Rust, WebAssembly, and Substrate-based systems from Tokyo. Currently leading core development at Startale, he previously delivered high-impact performance work at Web3 Foundation—designing a Substrate compute architecture that achieved a 10x speedup—and contributed to NEAR and Reflexer on smart-contract tooling and synthetic finance integrations. Comfortable at the intersection of research and production, he has hands-on experience integrating zk-SNARK libraries (arkworks), improving SDK tooling, and hardening testing infrastructure on high-profile open-source projects like numba. Known for pragmatic engineering leadership, he brings deep protocol-level expertise plus a track record of shipping robust developer tooling and novel architectures that accelerate blockchain execution.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Guru Gobind Singh Indraprastha University
Stackoverflow
23reputation
384reached
1answer
0questions
Github Skills (11)
testing10
numpy10
cuda10
numba10
python10
test-automation10
llvm9
compiler-compiler9
compiler9
parallel-computing8
multithreading6
Programming languages (16)
Github contributions (5)
numba/numba
Feb 2021 - Feb 2021
NumPy aware dynamic Python compiler using LLVM
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:1 review, 11 commits, 4 PRs in 3 days
Contributions summary:Ashutosh primarily contributed to the testing infrastructure of the `numba/numba` repository. Their work involved adding and improving tests related to the `intrinsic` functionality, including the `prefer_literal` option. They also updated tests for CUDA atomics, expanding coverage to include negative indices and fixing issues for 32-bit systems. These changes aimed to enhance the robustness and reliability of the project's testing suite.
cudapythonparallelnumpynumba
ashutoshvarma/ggsipu_result
Jun 2019 - Dec 2020
Python module to parse and dump results data from GGSIPU results pdf including students photo
Contributions:10 releases, 136 commits, 3 PRs in 1 year 6 months
pythonpdfggsipu-resultspython-moduleparse
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