Summary
Arun Ramachandran is a Robotics Machine Learning Engineer with 11 years of experience building production-grade ML and perception systems, currently applying his skills to robotic autonomy at Tesla in Palo Alto. He brings a strong research-to-production track record from MIT Lincoln Laboratory and industry roles at Microsoft and Amazon, where he shipped ranking models, full-stack systems, and serverless voice applications. Arun has deep expertise in 3D object detection and perception for autonomous vehicles—having improved deployed models' mAP by 25 points and significantly reduced hyperparameter search costs using scalable tooling like Ray Tune. He pairs a 4.0 MS in Computer Science from Georgia Tech with practical engineering instincts, from multi-threaded data pipelines to error-analysis tooling, and is comfortable moving prototypes into robust, monitored deployments. Notably, his background blends large-scale web search signals and query understanding with robotics ML, giving him a rare cross-domain perspective on perception, data pipelines, and real-world system reliability.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science and Engineering, Bachelor of Technology (B.Tech.), Computer Science and Engineering at National Institute of Technology Tiruchirappalli
Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at Georgia Institute of Technology
English, Tamil