Summary
Avinash Siravuru is a Staff Deep Learning Engineer in San Jose with 11 years of experience building robotics, AI, and control systems for medical and legged-robot applications. He has led robotics and control software for the Ottava general surgery robot at Johnson & Johnson and is currently developing integrated AI-driven capabilities for a new flexible endoscopy platform at Neptune Medical. His background blends rigorous academic research—PhD work at Carnegie Mellon on geometric controllers and learning-based perception for legged locomotion—with hands-on product engineering across startups and industry labs, including internships at DeepMind. Avinash is skilled at translating advanced control theory into robust real-world systems, from bipedal balancing on SO(3) manifolds to multi-arm motion planning in surgical robots. He often bridges the research-to-product gap, delivering differentiating features that combine compliance design, motion planning, and on-device learning. Colleagues would note his uncommon mix of deep theoretical insight and pragmatic system-level engineering across hardware, control, and ML.
11 years of coding experience
13 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at International Institute of Information Technology Hyderabad (IIITH)
Higher Secondary Certificate MathsPhysicsChemistry, Higher Secondary Certificate MathsPhysicsChemistry at FIITJEE Junior College
Doctor of Philosophy (Ph.D.) Mechanical Engineering, Doctor of Philosophy (Ph.D.) Mechanical Engineering at Carnegie Mellon University
B.E. Mechanical Engineer, B.E. Mechanical Engineer at Vellore Institute of Technology
Senior Secondary Certificate, Senior Secondary Certificate at St. Paul's High School