Summary
Mihir Chauhan is an applied scientist and PhD candidate in computer science based in Seattle with 9 years of experience bridging academic research and industry delivery in AI, deep representation learning, computer vision, and explainable and few-shot learning. At Amazon he designs and leads end-to-end ML and GenAI roadmaps that translate high-impact business problems into scalable, production-ready systems while collaborating across product, engineering, and research stakeholders. His academic work focuses on self-supervised representation learning for classification and comparison, and he has taught and built curricula in machine learning and algorithms, demonstrating strong communication and mentoring skills. Past internships across IBM, SAP, and startups show a knack for rapid prototyping—ranging from blockchain proofs-of-concept to sales analytics and large-scale clustering—underscoring his ability to move innovations from idea to deployment. Notably, he blends deep technical rigor with product sensibility, aiming to make explainable, few-shot models practical for real-world applications.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University at Buffalo
Bachelor's degree Electrical Electronics and Communications Engineering, Bachelor's degree Electrical Electronics and Communications Engineering at Veermata Jijabai Technological Institute (VJTI)
English, Hindi, Gujarati, Marathi