Sanket Kedia is a founding distributed systems engineer based in San Francisco with about a decade of experience building low-latency, real-time systems and core database infrastructure. He holds a dual B.Tech+M.Tech in Computer Science from IIT Kharagpur and has shipped production services at companies ranging from Oracle and Yugabyte to Netflix and the AI-native embedding DB Chroma. Sanket’s expertise spans Rust, modern C++, and Java Spring Boot, with hands-on work on HNSW indexes, full-text and metadata engines, and single-digit-millisecond KV systems. He contributed OpenTelemetry tracing and end-to-end span propagation to Chroma’s query and compaction services, enabling observability across complex query orchestration and worker threads. A researcher at heart, his early academic work includes GPU kernel optimization and published NLP research, reflecting a pattern of turning deep systems knowledge into practical, measurable improvements. Sanket combines low-level systems craftsmanship with production reliability and a proven ability to introduce cross-team observability and performance enhancements.
10 years of coding experience
9 years of employment as a software developer
Matriculation Science, Matriculation Science at M.C.Kejriwal Vidyapeeth
Higher Secondary Science, Higher Secondary Science at Adwaita Mission High School
Dual (B.Tech + M.Tech) Computer Science and Engineering, Dual (B.Tech + M.Tech) Computer Science and Engineering at Indian Institute of Technology, Kharagpur
Contributions:785 reviews, 414 PRs, 1244 pushes in 2 years
Contributions summary:Sanket implemented end-to-end tracing for the Query Service, specifically for the `query_vectors()` RPC. They integrated span inheritance and propagation across components, including the HNSW Query orchestrator and worker threads. Furthermore, the user added OpenTelemetry (OTEL) support to the query and compaction services, enabling the export of traces and spans in an OpenTelemetry format compatible with backends such as Jaeger. This included modifying the config for the service, adding a new tracing configuration file, and modifying the lib.rs and query_service.rs to enable tracing.
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