About

Madhav Achar is a Robotics Engineer at Quantum Signal AI, LLC, a subsidiary of Ford, with over 4 years of relevant experience in the field. He has a wide range of experiences across the robotics stack, including sensing, planning, and control. Madhav specializes in adapting and customizing algorithms in the planning and control modules of the Apollo open-source autonomous driving stack for the various autonomy goals of QSAI/Ford, with testing done in CARLA. Prior to his current role, Madhav worked as a Software Development Engineer Intern at Amazon, where he developed a metric that measures the consistency of data obtained from several non-deterministic sensor fusion algorithms over time. He surveyed existing literature, implemented a metric, and verified results on multiple data sets. Additionally, he created visualizations and plots to help engineers quickly identify anomalies and root cause algorithmic failures. Madhav's education background includes a Master of Engineering in Robotics from the University of Michigan, where he took courses in machine learning, reinforcement learning, data science, and motion planning. He also holds an Engineer's Degree in Computer Engineering from the same institution. Madhav's technical skills include AI, software engineering, machine learning, reinforcement learning, data science, and mobile robotics. He is a quick learner and enjoys staying up-to-date with the latest technologies and trends in the field. Madhav is a team player who thrives in collaborative environments and enjoys working on complex and challenging projects.