Rahul Chalamala
Staff at Modal
San Francisco Bay Area United States
Summary
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Rockstar🎓
Top SchoolRahul Chalamala is a Staff engineer in the San Francisco Bay Area with seven years of experience building high-performance ML systems and GPU inference stacks. He has transitioned from academic research at Caltech—where he helped integrate ML with formal theorem proving—to industry roles driving production-grade kernels and inference platforms at Together AI and Modal. His publications span open datasets and model linearization techniques (e.g., RedPajama, LoLCATs) and vision-language encoding improvements, reflecting a blend of systems engineering and research rigor. Earlier work at the Air Force Research Laboratory combined signal analysis with practical spectrum-safety verification for satellite systems, demonstrating multidisciplinary problem framing. Comfortable across Python, C++, Java and low-level optimization, he focuses on pushing ML workloads efficiently to hardware while remaining eager to absorb new tools and paradigms.
6 years of coding experience
2 years of employment as a software developer
California Institute of Technology
English, Telugu
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (59)
checker7
asio7
boost7
python7
react7
theorem-proving6
data-structures6
serverless6
gpu6
speech-to-text6
machine-learning6
scheduler6
java6
pytorch6
javascript6
Programming languages (9)
Github contributions (5)
rchalamala/caltech.dev
Sep 2022 - Nov 2022
Caltech Course Scheduling Simplified
Contributions:51 commits, 33 PRs, 87 pushes in 2 months
reactjavascriptschedulercaltechcourse-scheduler
rchalamala/cp
Aug 2020 - Nov 2023
Contributions:83 pushes, 1 branch in 3 years 3 months
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