Summary
Samarth Bhargav is a researcher-engineer specializing in NLP, information retrieval, and embeddings with 11 years of experience spanning academia and industry. He holds an MSc and PhD from the University of Amsterdam and has authored multiple first-author papers while tackling practical search and recommendation problems from domain shifts to tip-of-the-tongue queries. Currently a Member of Technical Staff focused on search and embeddings at Cohere, he combines deep research rigor with a strong track record of productionizing ML systems at scale. His background includes industry roles building real-time recommenders, large-image deep learning models, and efficient data pipelines, as well as a SIGIR paper from a Spotify internship. Colleagues describe him as someone who delves into problem structure to deliver reliable deployed solutions, and he brings the uncommon blend of hands-on engineering dating to 2013 plus 6+ years of academic research. Based in Amsterdam, he thrives in collaborative environments that bridge research and product delivery.
11 years of coding experience
5 years of employment as a software developer
Bachelor's Degree, Information Technology, 71.85 %, Bachelor's Degree, Information Technology, 71.85 % at Visvesvaraya Technological University
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at University of Amsterdam
English, Kannada, Hindi, Dutch