Summary
Himan Namdari is an applied AI scientist and founder with nine years of experience translating research-grade machine learning into production systems that leverage foundation models, LLMs, and retrieval-augmented generation. He holds a Ph.D. in Data Science and completed postdoctoral work focused on bridging synthetic simulation, physics-informed modeling, and deep learning for real-world sensing problems. Himan has founded AI-first ventures that automate service intake and matching via intelligent agents, demonstrating a knack for turning complex models into user-facing products. His background spans agriculture, healthcare, education, and operations, and he is comfortable designing end-to-end ML architectures, data pipelines, and evaluation frameworks under messy, constrained data conditions. Known for systems thinking, he excels at framing ambiguous problems, validating solutions with limited data, and communicating technical trade-offs to both engineers and executives. Based in Worcester, MA, he combines academic rigor with entrepreneurial drive to build practical AI platforms that measurably improve workflows.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Data Science, Doctor of Philosophy - PhD, Data Science at Worcester Polytechnic Institute
Bachelor of Applied Science (B.A.Sc.), Computer Systems Networking and Telecommunications, Bachelor of Applied Science (B.A.Sc.), Computer Systems Networking and Telecommunications at Iran University of Science and Technology
Master's degree, M.Sc. in Computer Science (Network and Security), Master's degree, M.Sc. in Computer Science (Network and Security) at Sapienza Università di Roma
Doctor of Philosophy - PhD- Transfered Sep 2022 to WPI, Computer Science, Doctor of Philosophy - PhD- Transfered Sep 2022 to WPI, Computer Science at University of North Texas
Persian, Kurdish, Italian, English