Summary
Ankur Chaudhari is a Knowledge Base Scientist with eight years of engineering and applied-AI experience, currently building GPT-4–powered knowledge systems for drug discovery at Sumitomo Pharma America. He blends hands-on machine learning, semantic understanding and generative-AI pipelines to turn tedious curation tasks into automated, research-ready knowledge assets that accelerate hypothesis generation. His work spans industry and academia—contributions at Sumitovant, internships in power systems and computer vision research at Stevens—giving him a pragmatic interdisciplinary approach to biomedical data problems. A Stevens MS in Applied AI (3.86 GPA) and a background in production-focused tooling mean he’s comfortable moving models from prototypes into stakeholder-facing systems. Known for a practicality summed up on GitHub as “this is AI’s problem now,” he emphasizes teamwork, reproducibility, and scalable knowledge exchange with external partners.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Applied Artificial Intelligence, 3.86, Master of Science - MS, Applied Artificial Intelligence, 3.86 at Stevens Institute of Technology
Bachelor of Engineering (B.E.), Computer Science, 3.3, Bachelor of Engineering (B.E.), Computer Science, 3.3 at PES Modern College of Engineering