Summary
Karthik Lakshmanan is a Senior Staff Machine Learning Engineer with 15 years of experience applying ML, perception, and robotics to real-world autonomy problems, now building foundation VLMs for autonomous driving at Waymo. He has led end-to-end perception stacks in safety-critical domains—designing vision-based 3D occupancy, deep stereo, and semantic segmentation for Zipline’s production drone delivery serving tens of thousands of customers, and architecting sensor-fusion and long-tail perception systems for Aurora’s self-driving trucks. His work helped secure FAA authorization for early BVLOS deliveries and contributed to production-grade tracking and fallback perception used in live fleets. Trained in robotics research at Carnegie Mellon and with roots in EECS from Berkeley, he blends rigorous academic grounding with hands-on system design and shipping at scale. Colleagues describe him as a builder who moves quickly from concept to robust production, with a knack for turning novel research ideas into operational autonomy features.
14 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.S.) Electrical Engineering and Computer Science, Bachelor of Science (B.S.) Electrical Engineering and Computer Science at University of California, Berkeley
CBSE XII Physics Chemistry Mathematics Computer Science English, CBSE XII Physics Chemistry Mathematics Computer Science English at CMR National Public School
ICSE X English Mathematics Physics Chemistry Computer Applications, ICSE X English Mathematics Physics Chemistry Computer Applications at Clarence High School, Bangalore
Master of Science in Robotics Robotics, Master of Science in Robotics Robotics at Carnegie Mellon University
English, Tamil, Hindi