Summary
Mrinal Tak is a Software Engineer II based in New York with a decade of experience building scalable distributed systems and production-grade ML platforms. Currently contributing to Michelangelo at Uber, he helps train and serve thousands of models in production, drawing on prior work developing a distributed search engine and low-latency query understanding at Goldman Sachs. His background spans speech and conversational AI at Samsung (including ASR work for Bixby Labs) and research in fuzzy-logic pattern recognition, reflecting a blend of applied ML and systems engineering. A double alumnus of IIT Guwahati and UMass Amherst (CS, 4.0), he is adept at turning complex NLP and big-data problems into robust, measurable production services. He’s notable for bridging deep research topics with pragmatic engineering—e.g., leading topic modeling and query-module redesigns that delivered substantial latency and relevance gains.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science and engineering, Bachelor of Technology (B.Tech.), Computer Science and engineering at Indian Institute of Technology, Guwahati
Masters, Computer Science, 4.0, Masters, Computer Science, 4.0 at University of Massachusetts Amherst
English