Welcome to my profile! I'm Dingkang Wang, a Software Engineer at Tesla 🚗. I specialize in leveraging Large Language Models (LLMs) 🧠 and data integration 📊 to develop AI models and agents 🤖 for automated test generation and integration within vehicle software CI/CD pipelines ⚡️.
Beyond my work at Tesla, I like to exploring various AI/ML technologies, including image generation model, LLM agents and reinforcement learning.
Previously, I was a Perception Validation Engineer at Aeva and collaborated with the FOCUS LAB at the University of Florida on drone 🚁 and autonomous vehicle projects.
🌟🌟Feel free to reach out! 👋 Whether it's for research, collaboration, or just to exchange ideas over a casual chat 💬, I'm always open to connecting and exploring new possibilities!🌟🌟
- Open-sourced
podcast-transcriber-mcp🎙️🔧! A demo project showcasing how to build MCP tools and utilize the OpenAI Agent SDK 🤖. Check it out here: podcast-transcriber-mcp. (2025-03-30) 👉 Watch the tutorial: - Excited to share the first open-source FMCW LIDAR perception model training and test code! 🌟 Check it out here: FMCW-DopplerPointTransformerNet. (2024-12-29)
- We (with An Zhang, Ziang Xu, and Yu Yao) have launched a cool virtual try-on demo on Hugging Face Spaces! Demo link: Huggingface Demo. (2024-11-29)
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🌱 I'm currently exploring training reinforcement learning model.
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📝 Sharing my journey and insights through articles on platforms like Medium.
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📫 How to reach me:
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- 💻 Software Engineer at Tesla 🚗
- Perception Validation Engineer at Aeva
- 🤖 Research Assistant at FOCUS LAB, University of Florida
