Himanshi Mathur
Senior Member Of Technical Staff at Oracle
Delhi, India
Summary
🤩
Rockstar🎓
Top SchoolHimanshi Mathur is a Senior Member of Technical Staff with seven years of software engineering experience, currently at Oracle after roles at Amazon and as a GSoC contributor. She combines strong academic performance in Computer Science (IIIT Delhi, 9.14/10) with hands-on systems and vectorization work—her open-source contributions include adding SSE2/AVX2/NEON/WASM implementations to the widely used simde SIMD compatibility library. Passionate about interdisciplinary CS research and social network analysis, she has a track record in competitive programming, outreach programs like Outreachy and Google Venkat Scholar, and mentoring large student cohorts. Beyond code, she champions women in tech and brings organizational leadership from running college events to technical coordination of social causes.
7 years of coding experience
3 years of employment as a software developer
B.Tech, Computer Science Engineering, 9.14/10, B.Tech, Computer Science Engineering, 9.14/10 at Indraprastha Institute of Information Technology, Delhi12th (High School), Science, 96.2%, 12th (High School), Science, 96.2% at Sarvodaya School - India10th Class, CBSE, 10/10, 10th Class, CBSE, 10/10 at Vikas Bharati Public School
English, Hindi, French
Github Skills (12)
avx10
simd10
sse10
optmization10
performance-optimization10
optimisation10
optimization10
cprogramming-language9
c-language9
wasm-pack8
rust-wasm8
neon7
Programming languages (4)
Github contributions (5)
simd-everywhere/simde
Mar 2020 - Dec 2020
Implementations of SIMD instruction sets for systems which don't natively support them.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 147 commits, 141 PRs in 9 months
Contributions summary:Himanshi focused on adding implementations of SIMD (Single Instruction, Multiple Data) functions for SSE2 and AVX2 instruction sets within the `simde` repository. Their contributions involved extending existing functions, adding support for new instructions (_mm256_srli_epi32, _mm256_max_epu16, slli_epi16) and implementing vectorization within functions. This work includes adding NEON and WASM implementations to some of the functions, and ensuring compatibility with existing aliasing.
avxsimdsse41avx512arm64
himanshi18037/simde
Mar 2020 - Aug 2020
Implementations of SIMD instruction sets for systems which don't natively support them.
Contributions:319 pushes, 18 branches in 5 months
implementationsinstructionsimd
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