Summary
Aman Khurana is a software engineer with 8 years of experience specializing in machine learning for robotics, currently building ML-driven systems at Latitude AI in California. His background combines applied research at Carnegie Mellon—where he developed deep RL planners, sim-to-real transfer for aggressive driving, and safety-monitoring techniques—with industry experience at Argo AI and Tonbo Imaging. He excels at integrating perception (SLAM, lidar, sensor fusion) with control and planning, having built a custom 1/10-scale drifting car platform and deployed EKF-based localization and deep-RL controllers. Aman brings a research-first approach to product engineering, focusing on runtime safety, assurance, and generalization across traffic and driving contexts. Known on GitHub as a "robot trainer," he pairs rigorous academic training in robotics and biology with pragmatic system-building to push safe autonomy toward real-world deployment.
8 years of coding experience
7 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master of Science - MS Robotics (MSR) School of Computer Science, Master of Science - MS Robotics (MSR) School of Computer Science at Carnegie Mellon University
English, Hindi, French