Siddharth Nayak is an LLM/VLM software engineer and MIT PhD candidate with eight years of experience applying learning-based methods to autonomy, multiagent systems, and multimodal perception. He develops integrations between large language and vision models and perception stacks at Waymo, building on research at MIT and internships at Mitsubishi Electric Research Labs focused on embodied navigation and hybrid planning. His doctoral work advances scalable, interpretable learning-based control for long-horizon, multiagent problems by combining reinforcement learning with optimization and visual-language modeling. Comfortable spanning theory and production, he has a track record of improving practical systems—from ObjectRL for enhanced detection to RL-driven packing heuristics—and publishes in top workshops. Based in Mountain View, he blends rigorous AeroAstro autonomy training with hands-on systems engineering to push multimodal agents toward real-world deployment.
8 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology Madras
Doctor of Philosophy - PhD AeroAstro (Autonomy), Doctor of Philosophy - PhD AeroAstro (Autonomy) at Massachusetts Institute of Technology
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