Kavel Baruah is an SDE II based in Bengaluru with 8 years of engineering experience focused on fintech, data management, AI/ML, distributed systems, and cloud-native solutions. He has a track record of translating complex business problems into production-grade systems—building an AI-powered underwriting engine that doubled efficiency, a multi-channel collections platform that boosted NPS by 30 points, and data pipelines that cut insight latency by 75%. Proficient in Java, Python, and Ruby, he also contributed backend database integration to the notable MindsDB project, expanding its compatibility with Apache Derby. Comfortable working across Hadoop ecosystems early in his career, he combines low-level data engineering chops with applied ML and scalable API design. Always hunting for high-impact problems, he pairs hands-on implementation with a knack for measurable product outcomes.
8 years of coding experience
3 years of employment as a software developer
B.Tech, Computer Science, Passed with 1st Class, B.Tech, Computer Science, Passed with 1st Class at Tezpur University
AI's query engine - Platform for building AI that can learn and answer questions over large scale federated data.
Role in this project:
Back-end Developer
Contributions:6 reviews, 4 PRs, 18 comments in 14 days
Contributions summary:Kavel implemented an Apache Derby database handler within the MindsDB platform, as evidenced by the addition of the `derby_handler.py` file and associated test file. This involved setting up the connection, implementing query execution, and retrieving table and column information. The work allows MindsDB to interact with Apache Derby databases, expanding its compatibility with different database systems and enabling users to query and analyze data stored in Derby. The commits also included updates to the TPOT handler code.
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