Rohit Bandaru is a Member of Technical Staff based in the Bay Area with nine years of experience building large-scale, production ML systems and research-driven foundation models. He has led development of multi-billion parameter transformers and user foundation models at Google, and now researches video-conditioned and robotics foundation models at Rhoda AI. His background spans on-device ML, speech/audio processing, computer vision, and recommender systems using PyTorch, TensorFlow, and JAX, with hands-on experience shipping production improvements and scaling training pipelines. Rohit is particularly focused on pretraining, world models, video understanding/generation, and embodied AI, and has applied multimodal LLMs to process millions of videos. He studied ECE and CS at Cornell and blends academic rigor with product impact—an example being cross-cutting ML automation and AutoML work that drove measurable business metric growth. Outside of work he documents his experiments and thinking on a technical blog, reflecting a commitment to clear communication and reproducible research.
9 years of coding experience
8 years of employment as a software developer
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Cornell University
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Rohit Bandaru - Member Of Technical Staff at Rhoda AI