Lingjie Kong is a founder and researcher with 10 years building production-grade AI and robotics systems, now co-founding CambioML/Energent.ai in Mountain View after research roles at DeepMind and engineering leadership at AWS and Microsoft. He blends reinforcement learning research (ads forecasting, agentic LLM workflows) with hands-on distributed systems and robotics expertise, shipping infra and open-source alternatives like xg2xg-ai. A Stanford-trained mechatronics and CS dual master’s graduate and UCSD summa cum laude alum, Lingjie has led cross-disciplinary teams to deliver DICOMweb Health AI, distributed RL simulation, and motion-control systems. He emphasizes working “with” AI rather than passively using it, and his startup recently reached #1 on the DABStep leaderboard—evidence of his ability to turn research into competitive products.
10 years of coding experience
7 years of employment as a software developer
University of California San Diego
Nanjing Jinling High School
Nanjing Jinling High School – UCLA Global Class
Y Combinator
Master's degree, Computer Science, Honors Cooperative Program, Master's degree, Computer Science, Honors Cooperative Program at Stanford University
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Lingjie Kong - Co-Founder And Researcher at Energent.ai