Hidayat Khan
Software Engineer at Google
New Taipei, Taiwan
Summary
🤩
Rockstar🎓
Top SchoolHidayat Khan is a software engineer with 8 years of experience focused on on-device generative AI and mobile platform work, currently contributing to Gemini for Android at Google. He has shipped features across Pixel Telephony and AICore (Gemini Nano) and previously worked on OTT search at Warner Bros. Discovery and core platform services at Amazon Pay. His open-source contributions to SIMDe demonstrate deep systems and performance expertise—implementing and optimizing SIMD intrinsics (SSE/AVX/NEON) for cross‑architecture portability. Based in New Taipei and a top graduate from IIIT Lucknow, he blends low-level vectorization skills with practical product delivery for mobile and embedded AI.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Technology, Information Technology, 8.96/10, Bachelor of Technology, Information Technology, 8.96/10 at Indian Institute of Information Technology Lucknow
Github Skills (8)
c-language10
system-programming10
cprogramming-language10
performance-optimization10
vectorization10
neon10
assembler9
assembly9
Programming languages (8)
Github contributions (5)
simd-everywhere/simde
Feb 2020 - Dec 2020
Implementations of SIMD instruction sets for systems which don't natively support them.
Role in this project:
Back-end Developer & Systems Programmer
Back-end Developer & Systems ProgrammerContributions:1 review, 190 commits, 151 PRs in 9 months
Contributions summary:Hidayat's commits primarily focused on implementing and improving SIMD (Single Instruction, Multiple Data) instruction set implementations for systems lacking native support. They added compile-time checks and optimized existing functions in the sse2, sse3 and avx2 header files. The user also contributed implementations for several AVX2 instructions and NEON implementations of various SSE instructions, indicating a strong focus on low-level systems programming, vectorization, and optimization for different processor architectures.
avxsimdsse41avx512arm64
masterchef2209/simde
Feb 2020 - Dec 2020
Implementations of SIMD instruction sets for systems which don't natively support them.
Contributions:188 pushes, 161 branches in 9 months
implementationsinstructionsimd
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