Siddharth聽Gollapudi
Graduate Student Researcher
Cupertino, California, United States
Summary
馃ぉ
Rockstar馃帗
Top SchoolSiddharth Gollapudi is a researcher-engineer with 11 years of experience building scalable search and ML systems, currently a Graduate Student Researcher in UC Berkeley EECS and a PhD candidate in Computer Science. He spent several years at Microsoft鈥檚 algorithms group pioneering hybrid and multivector extensions to DiskANN for large-scale vector search, translating research ideas into production-ready systems. His background includes internships at AWS (where he rewrote the ROS2 cross-compilation tool and productionized its metrics dashboard) and research work at Stanford applying TensorFlow models to proteomics and building cloud-backed search prototypes. Comfortable at the intersection of algorithms, systems, and applied ML, he combines rigorous academic training with hands-on engineering that ships. Based in Cupertino, he brings a habit of accelerating tooling and reproducibility鈥攅vident in dashboarding and performance wins鈥攁longside deep interest in search and vector-based representations.
11 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, BerkeleyN/A, Computer Science, N/A, Computer Science at De Anza CollegeMonta Vista High School
Github Skills (25)
similarity-search10
approximate10
nearest-neighbors10
graph10
approximate-nearest-neighbor-search10
indices10
scalable10
workspace9
targets9
nearest-neighbor-search9
ros8
workspaces8
robotics8
script7
discord-bot7
Programming languages (2)
Github contributions (5)
darvg/dotfiles
Sep 2015 - Feb 2023
Contributions:13 pushes, 4 branches in 7 years 5 months
darvg/DiskANN
Aug 2022 - Aug 2024
Scalable graph based indices for approximate nearest neighbor search
Contributions:2 PRs, 126 pushes, 26 branches in 2 years
graph-basedscalablenearest-neighborapproximate-nearest-neighbor-searchindices
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