Deeptej More is a research engineer based in Sunnyvale with six years of hands-on experience building and evaluating machine learning systems across vision, audio, robotics, and agent-based LLM research. He focuses today on interpretability in transformer models but has a track record of applied research—from trustworthy pathology AI and night-vision products to multi-agent web-interacting agents and hyperbolic deep learning. Deeptej bridges academia and startups, contributing to projects at Northwestern, IIT Bombay, Johns Hopkins, CAMEL-AI, and early-stage companies including a YC startup, often leading production-oriented ML work such as quantization-aware training and LoRA/SAM adaptation. He’s comfortable shipping end-to-end systems on embedded platforms (Jetson, ROS) and has led multidisciplinary UAV efforts that won top international rankings, revealing a rare combination of low-level systems engineering and cutting-edge model research.
7 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech Mechatronics Robotics and Automation Engineering, Bachelor of Technology - BTech Mechatronics Robotics and Automation Engineering at Manipal Institute of Technology
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Northwestern University
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:46 pushes in 1 year 5 months
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