Summary
Yogesh Pandit is a seasoned engineering leader with 14 years of experience building AI and data platforms at the intersection of healthcare and life sciences. Based in the San Francisco Bay Area, he currently leads AI Enablement at Genentech, architecting applied AI infrastructure and solutions that accelerate R&D workflows, from multimodal search and chatbots to autonomous agents and internal tools marketplaces. His background spans end-to-end product delivery in clinical and pathology AI—taking solutions from prototype to global launch across multiple regions. Trained in bioinformatics (MS) and sharpened by a Stanford LEAD certificate, he blends domain knowledge with production ML engineering to solve complex scientific problems. Notably, he has repeatedly unified multi-modal data and designed GenAI systems for intelligent content authoring and knowledge reuse, a pattern that demonstrates both technical depth and a pragmatic focus on researcher productivity.
14 years of coding experience
12 years of employment as a software developer
Stanford LEAD Professional Certificate, Stanford LEAD Professional Certificate at Stanford University Graduate School of Business
Master of Science - MS Bioinformatics, Master of Science - MS Bioinformatics at Indiana University Indianapolis
Bachelor of Science - BS Bioinformatics, Bachelor of Science - BS Bioinformatics at Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Tathawade, Pune