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).
- π« Master's Candidate at Beijing University of Technology (εδΊ¬ε·₯δΈε€§ε¦), School of Information Technology.
- π¬ Current Focus: Researching Large Language Models (LLMs) and Computer Vision (CV).
- βοΈ 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.
- π‘ Philosophy: "From Kernel to Model" β 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.
- π§ Email: qq1091192337@gmail.com