Summary
Keerthana Gopalakrishnan is a research engineer with 11 years of experience building ML-driven robotic and autonomy systems, currently developing generalizable end-to-end learning solutions at Google DeepMind. Her background spans applied robotics and self-driving car intelligence from Carnegie Mellon and Mercedes‑Benz R&D, blending rigorous academic training in robotics with hands-on production ML. She co-founded a startup early in her career, gaining product and business instincts that inform pragmatic research-to-deployment work. Keerthana’s profile reflects a rare combination of mechanical engineering roots and modern ML research practice, focused on automating everyday human tasks with scalable, transferable models.
11 years of coding experience
3 years of employment as a software developer
High School, Computer Science, High School, Computer Science at Chettinad Vidyashram, Chennai
Bachelor's & Master's, Mechanical Engineering, Mathematics and Computing, Entrepreneuship and Innovation, Bachelor's & Master's, Mechanical Engineering, Mathematics and Computing, Entrepreneuship and Innovation at Indian Institute of Technology, Kharagpur
Master's degree, Robotics Systems Development, School of Computer Science, Master's degree, Robotics Systems Development, School of Computer Science at Carnegie Mellon University
English, Malayalam, Tamil, Sanskrit, Hindi