Published over 20 AI/ML papers with more than 800 citations; founded a non-profit AI research community PathOnAI.org and wrote 4 papers, one accepted by NAACL 2025, one by ECML-PKDD 2025, one by NeurIPS 2025 workshop, and one in submission; contributed to several open-source projects such as LiteMultiAgent, LiteWebAgent, and VisualTreeSearch.
Research Experience
Conducted research on robotics and self-driving car projects at UC Berkeley from 2017 to 2018; since 2025, focused on physical AI and robotics, combining expertise in spatial systems, transformer-based model training, and agentic systems for robotic task planning and VLA (vision language action model).
Education
PhD in Systems Engineering (Cyber-physical Systems) from UC Berkeley, with foundational experience in robotics and self-driving car projects, 2017-2018. Advisor information not provided.
Background
Research interests include AIML, product development, software development, open-source robotics, and research. Works as an all-rounded engineer and scientist in early AI startups, covering agentic systems, ML/DL/RL model training, full-stack + infrastructure, and AI research.
Miscellany
Personal interests include building the open-source AGI research online community PathOnAI.org and actively participating in community building; launched the first product MeritPath, which helps academics find perfect recommenders, discover research opportunities, secure peer reviews, foster collaborations, and connect with mentors to advance their careers.