Summary
Tejas Pant is a Boston-based AI research leader with 8+ years of experience delivering production-grade ML in finance, healthcare, and mobility. He is the VP of AI Research at Accrete AI, where he shapes the research vision and leads a 15-person team in turning cutting-edge models into deployable solutions, while engaging directly with the CTO, CEO, and COO on product strategy. His expertise spans deep learning, computer vision, NLP, reinforcement learning, and algorithmic trading, with a proven ability to align research with business goals. Holding a PhD in Aerospace Engineering from Purdue, his work blends physics-informed modeling and ML—from CFD-driven combustion analytics to predictive analytics in real-world systems. A self-described "Computational Rocket Scientist," he has a track record of bridging academia and industry through hands-on ML/NLP/CV projects and client-focused research. Based in Boston and educated at VNIT, Purdue, and through a self-driving car nanodegree, he combines rigorous engineering depth with leadership to turn ambitious AI ideas into scalable products.
8 years of coding experience
8 years of employment as a software developer
Self-Driving Car Nanodegree Program, Computer Science, Self-Driving Car Nanodegree Program, Computer Science at Udacity
Doctor of Philosophy (PhD) Aerospace Aeronautical and Astronautical Engineering, Doctor of Philosophy (PhD) Aerospace Aeronautical and Astronautical Engineering at Purdue University
Bachelor of Technology (B.Tech.), Mechanical Engineering, Bachelor of Technology (B.Tech.), Mechanical Engineering at Visvesvaraya National Institute of Technology