Vijay Thakkar
AI Research Scientist at Meta
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolVijay Thakkar is an AI research scientist and compute architect with 9 years of deep experience in accelerated computing, performance engineering, and parallel algorithms, currently working on hardware-model co-design at Meta. He led the design of CUTLASS 3.x/4.x and the CuTe project at NVIDIA, collaborating across GPU architecture, compiler, and research teams to expose tensor-core features through CUDA C++ and PTX/MLIR toolchains. His background spans pre-silicon work for Hopper and Blackwell, sparse linear algebra prototyping, and practical HPC education—he co-ran Georgia Tech’s student cluster efforts and founded BU’s HPC club. Comfortable bridging low-level ISA/compiler details and high-level ML workloads, he combines a mechanic’s pragmatism (self-described “Systems and Performance Mechanic”) with rigorous academic training toward PhD-level research.
9 years of coding experience
7 years of employment as a software developer
PhD Computer Science, PhD Computer Science at Georgia Institute of TechnologyBachelor’s Degree Computer Engineering, Bachelor’s Degree Computer Engineering at Boston University
Github Skills (45)
linux-distribution10
python10
algebra10
matrix-multiplication10
cluster-computing10
machine-learning10
linux10
blas10
linux-kernel10
kernel10
nvidia10
deep-learning10
gpu10
cuda10
tensor10
Programming languages (6)
Github contributions (5)
hpcgarage/cuASR
Feb 2020 - Oct 2021
cuASR: CUDA Algebra for Semirings
Contributions:137 commits, 19 PRs, 26 pushes in 1 year 8 months
cudalapacklinear-algebra-librarylinear-algebrahigh-performance-computing
thakkarV/DeepFriedGIFs
Nov 2018 - Jun 2020
VAE based compression model for GIFs
Contributions:12 PRs, 75 pushes, 2 branches in 1 year 6 months
imagegifscompressionvaemodel-compression
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