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I am an electrical engineering student with hands-on experience leading AI/ML projects in hardware-software contexts. I have led a team to build GameGen, developed RL experiments for robot control, and contributed to end-to-end autonomous driving and AI agent frameworks. I thrive on continuous learning and delivering measurable results, and I enjoy collaborating across cross-functional teams to turn ideas into robust, production-ready solutions. I am excited to apply reinforcement learning, robotics, and AI to real-world problems and to continue growing as a technical leader and team collaborator.…I am an electrical engineering student with hands-on experience leading AI/ML projects in hardware-software contexts. I have led a team to build GameGen, developed RL experiments for robot control, and contributed to end-to-end autonomous driving and AI agent frameworks. I thrive on continuous learning and delivering measurable results, and I enjoy collaborating across cross-functional teams to turn ideas into robust, production-ready solutions. I am excited to apply reinforcement learning, robotics, and AI to real-world problems and to continue growing as a technical leader and team collaborator.

Teddy Lo

AI Engineer, Data Scientist, Game Developer, +2

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I am an electrical engineering student with hands-on experience leading AI/ML projects in hardware-software contexts. I have led a team to build GameGen, developed RL experiments for robot control, and contributed to end-to-end autonomous driving and AI agent frameworks. I thrive on continuous learning and delivering measurable results, and I enjoy collaborating across cross-functional teams to turn ideas into robust, production-ready solutions. I am excited to apply reinforcement learning, robotics, and AI to real-world problems and to continue growing as a technical leader and team collaborator.…I am an electrical engineering student with hands-on experience leading AI/ML projects in hardware-software contexts. I have led a team to build GameGen, developed RL experiments for robot control, and contributed to end-to-end autonomous driving and AI agent frameworks. I thrive on continuous learning and delivering measurable results, and I enjoy collaborating across cross-functional teams to turn ideas into robust, production-ready solutions. I am excited to apply reinforcement learning, robotics, and AI to real-world problems and to continue growing as a technical leader and team collaborator.

Available to hire

I am an electrical engineering student with hands-on experience leading AI/ML projects in hardware-software contexts. I have led a team to build GameGen, developed RL experiments for robot control, and contributed to end-to-end autonomous driving and AI agent frameworks. I thrive on continuous learning and delivering measurable results, and I enjoy collaborating across cross-functional teams to turn ideas into robust, production-ready solutions.

I am excited to apply reinforcement learning, robotics, and AI to real-world problems and to continue growing as a technical leader and team collaborator.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

End-to-End Autonomous Driving Neural Network Team Member

February 1, 2025 - Present

End-to-end autonomous driving neural network work; developed a model-agnostic testing pipeline for vision-language models (VLMs), supporting scenario generation and robust data collection; built a world model for AI experiments and evaluated model contributions. Led initiatives to monitor team contributions and drive results.

Major Contributor - AI Agent Framework Library

January 1, 2024 - January 1, 2025

Implemented and enhanced the AI Agent Framework library; major contributor 2024-01-01 to 2025-01-01; developed AI agents across 7 models and 9 benchmarks, created test cases and evaluation prompts; authored documentation and demos to facilitate adoption; verified code with unit and integration tests.

Software Engineer (Intern) at Berkeley SkyDeck Accelerator

March 1, 2024 - September 1, 2024

Developed a Retrieval-Augmented Generation (RAG) chatbot, integrated vector databases (VectorDB) for advanced AI workflows; implemented dense paragraph retrieval technology and computer vision models for emotion detection; collaborated with cross-functional teams to design, test, and deploy AI and software solutions.