Abhijat Biswas is a robotics researcher-turned-applied ML engineer with 11 years of experience, holding a PhD from Carnegie Mellon and currently working on reinforcement learning for multimodal models at Inworld AI. He has a strong research-to-product track record across startups and labs—founding AI researcher at Clementine building voice-to-code game agents, internships at Toyota Research Institute and Bosch, and prior work at IISc and Cardiff on sketch semantics and unsupervised video representations. His expertise spans deep learning for perception, multimodal RL, and human-in-the-loop supervision (including gaze-based signals), and he repeatedly bridges creative interfaces with rigorous multi-task objectives. Based in San Diego, he publishes academically and maintains a research-focused web and GitHub presence, blending hands-on systems work with novel pretext tasks and practical agent design.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Technology (BTech) Electronics and Communications Engineering, Bachelor of Technology (BTech) Electronics and Communications Engineering at Indian Institute of Technology, Guwahati
Kendriya Vidyalaya Sangathan
Doctor of Philosophy - PhD Robotics, Doctor of Philosophy - PhD Robotics at Carnegie Mellon University
Contributions:2 PRs, 13 pushes, 3 branches in 2 years 8 months
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Abhijat Biswas - Senior Machine Learning Engineer at Inworld AI