Saachi Jain
Phd Researcher Assistant at Massachusetts Institute of Technology
Los Gatos, California, United States
Summary
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Rockstar🎓
Top SchoolSaachi Jain is a PhD researcher at MIT with 11 years of software and research experience exploring robustness and distribution shift in machine learning, building on prior work as a computer vision scientist at Tesla Autopilot. She blends theoretical interest in graph learning and computer vision with practical systems experience—from extending Stanford's widely used SNAP graph library with shared-memory I/O to designing distributed dialogue experiment infrastructure at Facebook AI Research. Her background spans large-scale I/O and performance optimization (SNAP, Stanford), production-facing ML systems (Tesla), and provable analysis of computation graphs, giving her a rare combination of theory, systems engineering, and applied ML. Based in the Bay Area, she frequently intersects academic rigor with production constraints, often focusing on how algorithmic guarantees hold up under real-world distribution shifts.
11 years of coding experience
4 years of employment as a software developer
High School, High School at The Harker SchoolMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
Hindi, Latin, English
Github Skills (9)
data-structures10
graph-algorithms10
shared-memory10
c-language10
cprogramming-language10
network-analysis10
data-structure10
testing9
lib9
Programming languages (3)
Github contributions (5)
snap-stanford/snap
Nov 2016 - Mar 2017
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits in 3 months
Contributions summary:Saachi primarily focused on extending the Stanford Network Analysis Platform (SNAP) library with shared memory input/output capabilities. Their work involved adding new functions for loading data structures such as vectors and various graph types directly from shared memory, along with corresponding test files. They also made updates to improve code consistency.
stanfordpythonminingpurposegraph
scoutsaachi/CS234Bandits
Feb 2019 - Mar 2019
Contributions:39 commits in 25 days
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