Naila Farooqui
Machine Learning Researcher at RelationalAI
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolNaila Farooqui is a machine learning researcher and systems engineer with 15 years of experience building high-performance compilers, deep learning runtimes, and heterogeneous execution environments. Her Ph.D. work focused on software execution for heterogeneous GPU platforms, which informs contributions across NVIDIA (high-performance CUDA kernels), Apple (NN compiler), and recent ML systems roles. She co-developed CUTLASS convolution kernels achieving SASS-level performance and has led production-grade LLM infrastructure and training stacks at Lamini and as a founder of ScalarLM. Based in the San Francisco Bay Area, she bridges low-level systems, compiler technology, and modern LLM alignment and agent workflows to deliver scalable, efficient ML systems. Beyond engineering, she coaches an FRC robotics team, signaling a commitment to mentoring and applied STEM education. Her work combines deep compiler/artitecture expertise with practical ML productization, making her adept at turning research into deployable systems.
15 years of coding experience
21 years of employment as a software developer
Doctorate Computer Science, Doctorate Computer Science at Georgia Institute of TechnologyPh.D. Minor Entrepreneurship, Ph.D. Minor Entrepreneurship at Stanford University
Github Skills (11)
compilation10
ptx9
cuda9
accelerator8
gpu8
hpc7
julia2
dsl2
high-performance1
deep-neural-networks1
neural-network1
Programming languages (4)
Github contributions (5)
supermassive-intelligence/cray
Feb 2025 - Apr 2025
Contributions:4 reviews, 19 PRs, 78 pushes in 1 month
gtnaila/gpulynx
Sep 2013 - Oct 2013
Contributions:5 commits in 1 month
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