Raunak Shah
Machine Learning Engineer at Adobe
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRaunak Shah is a Machine Learning Engineer with eight years of experience building and optimizing ML systems, currently focused on scaling generative foundation models at Adobe in San Francisco. He combines rigorous academic training—a top-ranked B.Tech from IIT Kanpur and an MS in Computer Science from UIUC—with hands-on research and production experience across internships and roles at Adobe, LanceDB, UCSD, and IIT Kanpur. Raunak’s work spans systems-level optimization, model infrastructure, and research engineering, reflecting a comfort moving models from experimentation into performant production. He has repeatedly returned to Adobe in increasingly senior engineering and research roles, signaling both deep domain knowledge and strong impact delivery. Notably, he bridges academic rigor and product focus—publishing and teaching during his MS while contributing to fast-moving ML systems at startups and enterprise alike. This blend of systems expertise and foundation-model specialization makes him adept at tackling hard, high-impact problems in ML infrastructure.
8 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology KanpurMaster's degree, Computer Science, 3.9/4, Master's degree, Computer Science, 3.9/4 at University of Illinois Urbana-Champaign
English, Hindi
Github Skills (77)
python10
image-processing10
apache-arrow10
duckdb10
deep-learning10
gpu10
polars10
spatial10
random-access10
dataops10
data-analytics10
object-detection10
computer-vision10
versioning10
rust10
Programming languages (6)
Github contributions (5)
raunaks13/lance
May 2024 - Aug 2024
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..
Contributions:192 pushes, 19 branches in 2 months
raunaks13/GeoNet-PyTorch
Jul 2019 - Nov 2019
Contributions:11 commits, 1 branch, 1 comment in 3 months
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