M.S. Student @ BJUT | AI Researcher | Ex-BSP Engineer

I am currently looking for an Algorithm or R&D Internship where I can leverage my unique background in both High-Level AI (LLM/CV) and Low-Level Systems (Linux/BSP).

• 🏫 Master's Candidate at Beijing University of Technology (北京工业大学), School of Information Technology.
• 🔬 Current Focus: Researching Large Language Models (LLMs) and Computer Vision (CV).
• ⚙️ Engineering Roots: I have a strong foundation in Embedded Linux (BSP) and Reverse Engineering, giving me a deep understanding of how software interacts with hardware.
• 💡 Philosophy: "From Kernel to Model" — I believe the best AI systems are built by understanding the entire stack, from the driver level up to the neural network.

• Focus: Multi-modal Learning, Generative AI, Image Processing.
• Experience: Model fine-tuning, inference optimization, and paper implementation.

• Role: Former BSP Engineer.
• Key Skills: Custom Carrier Board Bring-up, Linux Kernel Adaptation, Device Tree (DTS) Configuration, Driver Debugging.
• Tools: GCC, Make/CMake, GDB, JTAG, U-Boot.

• Background: Experienced in Full-Stack Web Development and Binary Reverse Engineering (IDA Pro, Frida).

• AI Research (Current): Working on advanced computer vision tasks and exploring the capabilities of Large Language Models.
• BSP Development (Previous):
  • Responsible for System Bring-up on custom carrier boards.
  • Debugged complex hardware-software interaction issues.
  • Developed and maintained Linux low-level system software.
• Full-Stack & Security: Built end-to-end web applications and performed vulnerability analysis on binaries.

I am open to discussing internship roles, research collaborations, or technical challenges.

• 📧 Email: [email protected]