Summary
Shubham Toshniwal is a Senior Research Scientist with nine years of experience at the intersection of speech, language, and large-scale ML systems, currently transitioning from NVIDIA to Databricks after a research stint at Facebook AI and upcoming work in FAIR’s Speech & Language team. He holds a PhD and MS in Computer Science from TTI Chicago and began his career building software and research foundations at IBM India and internships at Google and Bell Labs, giving him a rare blend of production engineering and deep academic research. His recent work focuses on large language models and grounded sentence and multilingual speech representations, with publications visible on his Google Scholar profile. Based in New York, he combines rigorous research methodology with hands-on system-building, often moving ideas from lab prototypes toward deployable ML tooling. An under-the-radar strength is his cross-domain fluency—shifting seamlessly between speech recognition, representation learning, and LLM engineering—which helps him bridge research and product impact.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy Computer Science, Doctor of Philosophy Computer Science at Toyota Technological Institute at Chicago
Indian Institute of Technology Kanpur