Kaival Parikh is a software engineer with seven years of experience building scalable search and semantic systems, currently an SDE II at Amazon in Boston. He has a strong backend focus, contributing performance and stability fixes to high-profile open-source search software Apache Lucene and now holds committer status there. At Amazon he progressed from intern to SDE II working on Amazon Product Search and Semantic Search, shipping production-grade features for large-scale retrieval. His background includes blockchain and full-stack prototypes—an Ethereum-based NFT marketplace and React/React Native clients—demonstrating a flair for applied research and rapid prototyping. Kaival combines pragmatic problem-solving with attention to algorithmic detail (e.g., KNN and graph search optimizations), making him comfortable at the intersection of systems engineering and IR research. Based in Boston and educated at BITS Pilani, he brings open-source rigor and production experience to search and recommendation challenges.
6 years of coding experience
3 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
School, School at Chatrabhuj Narsee Memorial School
Junior College Science, Junior College Science at Khar Education Societys College of Commerce and Economics
A library for efficient similarity search and clustering of dense vectors.
Contributions:26 pushes, 10 branches in 3 months
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