My personal experiences and introduction

Hi, I am Jiajun Wang(Jesse as my nickname). I am currently a Master's student at FAU Erlangen-Nürnberg, combining a solid Engineering foundation with cutting-edge AI research.
Engineering Background: Experience in telecommunications and industrial automation, with granted patents for innovative system designs.
AI Research: Published author (BVM Conference) on fine-tuning Vision-Language Models (VLM). Currently researching Diffusion Models for medical image denoising.
Goal: I am actively seeking an internship in AI, Computer Vision, or Deep Learning. I bring a cheerful personality and a strong ability to bridge engineering challenges with advanced AI solutions.
📅 Work and Education History
🔬 Project Research Student
Pattern Recognition Lab, FAU Erlangen-Nürnberg | Oct 2025 – Present
Focus: Generative AI, VLM, Medical Imaging.
Key Achievement: Fine-tuned MedGemma-4B using QLoRA for CT image quality assessment.
Outcome: Paper accepted at the German Conference on Medical Image Computing (BVM). Currently researching Diffusion Models for medical image denoising.
🎓 M.Sc. in Electromobility
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) | Oct 2022 – Present
Specialization: Artificial Intelligence, Deep Learning, and Computer Vision.
Transitioned from engineering to advanced AI research.
📡 TETRA System Test Engineer
Hytera Communications | Jul 2022 – Oct 2022
Deployment: Configured TETRA digital trunking systems (BSCU, CHU) for public safety networks.
Skills: Root cause analysis using Linux, Wireshark, and Xshell.
🎓 B.E. in Automation
Xi'an Polytechnic University | Sep 2018 – Jun 2022
Major: Automation Engineer Technology.
Foundation: Built a strong background in Control Systems and Hardware-Software integration.
⚙️ Engineering Intern
Esquel Group | Jul 2021 – Aug 2021
Innovation: Designed a PLC-based monitoring system using position sensors to track roller displacement.
Impact: Reduced manual errors and secured 1 Invention Patent & 1 Utility Model Patent.
🛠 Skills
AI & Deep Learning: PyTorch, LLMs/VLMs (Fine-tuning, RAG), Diffusion Models, PEFT (LoRA/QLoRA), SFT, RLHF, Computer Vision.
Programming: Python, C, MATLAB.
Tools & Platforms: Linux, HPC, Docker, Git, Wireshark, Jira.
Languages: English (Professional), German (Basic), Chinese (Native).
🏔️ Beyond Work
🏃♂️ Active Lifestyle
I believe a healthy body fuels a creative mind.
🏂 Snowboarding: Passionate about carving through snow in winter.
🏊♂️ Swimming: Building endurance and focus in the water.
🥾 Hiking & Travel: Exploring nature and experiencing diverse cultures.
📷 Photography: Capturing life's moments and finding unique perspectives through both modern digital lenses and the timeless charm of classic vintage film cameras.
🥗 Healthy Habits
I maintain a disciplined lifestyle to stay at peak performance.
🚭 Substance-Free: Non-smoker and non-drinker.
🍬 Conscious Diet: Committed to a low-sugar lifestyle, strictly minimizing refined sugar intake for better health and mental clarity.
❤️ Social Impact
Giving back to the community is an essential part of my life.
- 🧒 Child Development: Deeply care about the growth, education, and well-being of the next generation, actively supporting children's welfare through periodic charitable donations.





