Jai Radhakrishnan
Senior Software Engineer at Orbit Intelligence Inc.
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJai Radhakrishnan is a Senior Software Engineer based in San Francisco with six years of experience building scalable backend systems, distributed databases, and developer tooling. He has shipped production features at AWS and architected persistent vector indexing and graph-integrated search at Dgraph, then moved on to design embedded databases, serverless auth, and WASM sandboxes at Hypermode. More recently he contributed backend refactors to the popular open-source Chroma embedding database, standardizing Google embedding integrations and improving schema validation and stability. Jai blends systems-level engineering with practical productization—designing one-click integrations, CLIs, and AIOps pipelines that make ML workflows consumable. He’s equally comfortable diving into low-level storage/indexing problems and shipping developer-facing integrations, and often focuses on durable, auditable systems rather than ad-hoc prototypes.
6 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of California, RiversideGED, Computer Science, GED, Computer Science at Troy High School
Github Skills (6)
lm10
embedding10
python10
llm10
apidoc9
api9
Programming languages (10)
Github contributions (5)
chroma-core/chroma
Jan 2025 - Apr 2025
the AI-native open-source embedding database
Role in this project:
Back-end Developer
Back-end DeveloperContributions:36 reviews, 56 PRs, 286 pushes in 2 months
Contributions summary:Jai primarily updated and refactored Chroma's embedding functions, ensuring they conformed to a new interface. This involved modifying existing embedding functions for Google PaLM, Google Generative AI, and Google Vertex AI to align with the updated interface. The user also added schema validation and removed unnecessary imports, improving the maintainability and stability of the codebase. Moreover, the user addressed and fixed bugs, and made necessary refactors, focusing on backend functionalities.
document-retrievalembeddingsllms
hypermodeinc/hyp-cli
Oct 2024 - Jan 2025
Hypermode, in your terminal
Contributions:23 reviews, 55 PRs, 61 pushes in 3 months
clijavascript
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