Summary
Sachith Kothur is a Team Lead specializing in agentic code generation and generative AI, with nine years of experience building production NLU and code-generation features at Bloomberg. His work spans code generation agents and tool integrations, plus deep expertise in semantic parsing, text summarization, IR, learning-to-rank, and neural machine translation from his JHU research. He has a track record of shipping robust ML systems in low-data and domain-adaptation settings, including production web services that achieved high accuracy in content extraction. Comfortable bridging research and engineering, Sachith has optimized performance-critical C++ systems and deployed scalable ML services across finance and research contexts. Based in New York, he combines an academic foundation from JHU and BITS Pilani with hands-on delivery of agentic GenAI capabilities that enhance terminal workflows. An understated strength is his ability to translate sparse-language problems into practical retrieval and ranking solutions that work in production.
9 years of coding experience
8 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Johns Hopkins University
Hindi, Telugu