Hanwool Park
Fullstack AI Engineer at Resaro
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolHanwool Park is a Fullstack AI Engineer with eight years of experience building production-ready ML systems, specializing in 3D medical image processing, computer vision evaluation, and end-to-end platform engineering. Trained at Handong Global University and TUM, he combines deep learning research and practical deployment—designing segmentation and registration models in PyTorch, containerized pipelines with Docker, and full-stack integrations using React, FastAPI/Flask, and cloud infrastructure. At Mango Medical he owned the entire deep learning lifecycle and productized it into web apps; at Resaro he now architects AI quality benchmarking platforms with flexible metric systems and Terraform-backed CI/CD. Equally comfortable in research and product roles, he freelances and founders his own startup while exploring Flutter and LLMs, reflecting a persistent focus on leveraging AI for societal impact. Notably, his background in hardware/software testing and embedded customer-facing engineering gives him an uncommon emphasis on reliability and traceability in ML systems.
8 years of coding experience
6 years of employment as a software developer
Master's degree, Informatik, Master's degree, Informatik at Technical University of MunichBachelor's degree, computer science and engineering, Bachelor's degree, computer science and engineering at Handong Global University
Korean, English, German
Stackoverflow
139reputation
5kreached
8answers
0questions
Github Skills (8)
segmentation9
pytorch6
pyinstaller6
pycharm6
python6
numpy6
react3
typescript2
Programming languages (2)
Github contributions (5)
sky4689524/codility
Apr 2020 - May 2020
Contributions:10 commits, 9 pushes, 1 branch in 14 days
sky4689524/daiichi_sankyo_assignment
Sep 2024 - Sep 2024
Contributions:6 PRs, 15 pushes, 7 branches in 1 day
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