Shalini Bodapati

AI Library Developer at IBM

Andhra Pradesh, India
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Summary

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Senior
🎓
Top School
Shalini Bodapati is an AI Library Developer and performance-focused compiler engineer with 8 years of experience optimizing runtimes and code for specific hardware architectures. She has a strong background in JIT/AOT compiler work and low-level x86 optimization from roles at Intel and IBM, including concrete contributions that added AVX2‑optimized math and memory routines to vendor-intel-utils. An IIT Madras M.Tech graduate, she combines assembly-level tuning with build-system and benchmarking know-how to deliver measurable performance gains. Based in Andhra Pradesh, India, she brings practical silicon-domain insight from work as a Silicon Domain Architect and a track record of squeezing real-world speedups from compilers and libraries.
code8 years of coding experience
job8 years of employment as a software developer
bookSSC, SSC at English Union School
bookM.Tech., Computer Science & Engineering, M.Tech., Computer Science & Engineering at IIT MADRAS
bookBachelors of Technology, Computer Science, Bachelors of Technology, Computer Science at IITDM Kancheepuram
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Stackoverflow

Stats
33reputation
656reached
0answers
2questions
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Github Skills (15)

maths10
avx10
mathlib10
assembly10
math10
performance-optimization10
math-library10
x8610
cprogramming-language9
c-language9
build-system8
java6
compiler-errors6
cryptography6
aes6

Programming languages (8)

JavaC++ShellCMakefileGoObjective-CAssembly

Github contributions (5)

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Role in this project:
userBack-end Developer & Performance Engineer
Contributions:16 commits, 57 PRs, 8 comments in 2 years 9 months
Contributions summary:Shalini contributed to optimizing the `vendor-intel-utils` repository, likely targeting x86 architecture, as evidenced by the addition of AVX2 support and related optimizations. The commits involve implementing AVX2-optimized math functions and memory operations, alongside build system modifications to enable these optimizations, indicating a focus on performance enhancement. The user has demonstrated skills in assembly language and x86 architecture, contributing to significant performance gains in key benchmarks.
Contributions:3 PRs, 67 pushes, 59 branches in 3 years 4 months
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Shalini Bodapati - AI Library Developer at IBM