Summary
Rachit Saluja is a machine learning engineer and graduate researcher with a decade of experience applying deep learning, computer vision, and Bayesian statistics to healthcare and robotics problems. He holds an MS in Electrical Engineering from the University of Pennsylvania and is pursuing doctoral work at Cornell, bridging rigorous research with production ML systems. His background includes building ML-driven differential diagnostics for neuro-radiology, NLP and vision tools for Penn Medicine, and reinforcement-learning perception stacks for robotics. Comfortable moving from convex optimization for IoT compression to large-scale medical imaging pipelines, he blends mathematical depth with hands-on engineering. Based in New York, he favors projects that translate novel research into clinically relevant tools and reliable ML infrastructure. An undercurrent of his career is a steady focus on applied statistical modeling—turning uncertainty-aware methods into actionable decision support.
10 years of coding experience