Summary
Anish Madan is an experienced research-oriented software engineer with nine years of experience focused on deep learning, computer vision, and robotics, currently serving as a Member of Technical Staff after a research associate stint at Carnegie Mellon working on multi-modal dynamic scene reconstruction. He holds an MS in Robotics from CMU and has interned and researched at Bosch, Wadhwani AI, and IIIT Delhi, contributing practical CV solutions from speed-breaker detection to adversarial-defense methods that don't require retraining. Anish combines academic rigor with product-minded implementation—evidenced by a large synthetic image dataset and real-world UAV and driverless-car project work—and is comfortable moving ideas from paper to prototype. Based in Pittsburgh, he brings both hands-on model development and systems integration experience, with a track record of improving existing algorithms and building tooling for data collection and interoperability.
9 years of coding experience
3 years of employment as a software developer
School (Primary Middle and High School) Physics Chemistry Computer Science and Mathematics, School (Primary Middle and High School) Physics Chemistry Computer Science and Mathematics at St. Francis De Sales
Bachelor's degree Computer Science and Applied Mathematics, Bachelor's degree Computer Science and Applied Mathematics at Indraprastha Institute of Information Technology, Delhi
Master of Science - MS Robotics, Master of Science - MS Robotics at Carnegie Mellon University