Hitesh Sagtani
Machine Learning Engineer 3 at Sourcegraph
Rajasthan, India
Summary
🤩
Rockstar🎓
Top SchoolHitesh Sagtani is a Machine Learning Engineer with nine years of experience building production ML systems and back-end integrations, currently at Sourcegraph where he advanced from MLE2 to MLE3. He holds dual honors degrees in Computer Science and Economics from BITS Pilani, combining rigorous technical foundations with quantitative thinking. His recent work on Sourcegraph’s Cody Gateway added support for fine-tuned models (Mixtral, Llama, Deepseek) and enterprise chat intents, reflecting hands-on experience deploying code-completion and model-routing features in a prominent Code AI platform. Prior roles at ShareChat, D.E. Shaw, and Amazon sharpened his applied research and systems skills across NLP, recommendation, and low-latency services. Known as a motivated learner who seeks challenging projects, he pairs curiosity with pragmatic engineering to move models from prototype to scalable production. Based in Rajasthan, he brings an uncommon blend of backend engineering, ML model integration, and product-focused deployment experience.
9 years of coding experience
4 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Stackoverflow
31reputation
6kreached
1answer
0questions
Github Skills (15)
mixture10
go10
code-completion10
backend10
code-intelligence10
back-end-development10
fireworks10
co10
apidoc9
api9
llama9
algorithm6
sorting6
code-search-engine3
code-search3
Programming languages (4)
Github contributions (5)
sourcegraph/sourcegraph-public-snapshot
Apr 2024 - Aug 2024
Code AI platform with Code Search & Cody
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 reviews, 16 PRs, 18 pushes in 3 months
Contributions summary:Hitesh's primary contributions involve adding and modifying code related to the Cody Gateway, specifically focusing on integrating fine-tuned models and related configurations for code completion features. They added support for various fine-tuned models, including Mixtral, Llama, and Deepseek variants. The work also encompassed adjustments to language-specific routing and modifications to the backend API and configuration to accommodate these new models, as well as enabling chat intent for enterprise instances.
sourcegraphcode-generationrepo-type-maindeveloper-toolslsif-enabled
hitesh-1997/practice_codes
May 2023 - Jun 2024
Contributions:5 PRs, 13 pushes, 9 branches in 1 year 1 month
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