Tanmay Laud is a Staff Applied Scientist based in California with 8 years of experience at the intersection of ML research and production-grade software engineering. He specializes in NLP and LLM interpretability, breaking down large models "one block at a time" while contributing to applied research at Hippocratic AI and UCSD's Berg Lab. His background spans industrial ML roles (Salesforce, VMware, Megagon Labs) and fintech-grade engineering at Deutsche Bank, giving him a rare blend of high-volume Java/Python engineering and cutting-edge deep learning. He has driven AI for Social Good projects across opioids, climate, cancer drug repurposing and malaria detection, and leads open-source contributions to Hugging Face, Streamlit, deepset and OmnixAI. Comfortable across cloud, Docker, full-stack web tech and data systems, he pairs rigorous academic training (UCSD MS) with pragmatic delivery in fast-paced teams. Notably, he combines hands-on LLM probing with real-world deployment experience, making research insights production-ready.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at UC San Diego Jacobs School of Engineering
Bachelor of Technology - BTech Electrical Electronics and Communications Engineering, Bachelor of Technology - BTech Electrical Electronics and Communications Engineering at Veermata Jijabai Technological Institute (VJTI)
Junior College Science, Junior College Science at Kishinchand Chellaram College of Arts Commerce and Science
High School, High School at St. Xavier's Boys' Academy
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Tanmay Laud - Staff Applied Scientist at Hippocratic AI