ML Engineer | MSc. Machine Learning at Tübingen University
I build machine learning models and their applications
Hallo! 👋 I view the world as a stochastic process. Uncertainty is the only thing that is unchanged in this fast-changing world. I love building machine learning models to catch the signal from data. Large language models and vision language models are my favorite toys. Their ability to generalize always amazes me. I also believe in the future of democratizing AI. That's why I build open-source tools to make AI more accessible, more useful and intuitive to everyone.
- Skills: Machine Learning (Probabilistic & Statistical ML, Reinforcement Learning, Deep Learning), Computer Vision, Large Language Models (LLMs), Vision Language Models (VLMs), Data Structures & Algorithms.
- Education: MSc. Machine Learning at Tübingen University, Germany.
- Kaggle:
kaggle.com/namgalielei - Kaggle Competition Master. - HuggingFace:
huggingface.co/thenam. - Writter at:
The Nam's Medium - AI & ML articles. - LinkedIn:
linkedIn/thenam (The Nam Nguyen).
Open Source Projects:
- LlamaAssistant 🦙 - LLM assistant that rus on your local machine. Support OCR, RAG, reasoning, and more.
Products:
- AnyLearning
- Desktop app for computer vision model training and inference. Secure your data by training on your own machine. Support various tasks: Object Detection, Segmentation, Classification, etc.
- 1st Place (Gold Medal) in UW-Madison GI Tract Image Segmentation. Code: CarnoZhao/Kaggle-UWMGIT
- 6th Place (Gold Medal) in RSNA-MICCAI Brain Tumor Radiogenomic Classification. Code: gallegi/T4E_MICCAI_BrainTumor
- 7th Place (Gold Medal) in Sartorius - Cell Instance Segmentation. Code: gallegi/T4E_Sartorius_Cell_InstanceSegmentation
- I practice Leetcode to remain sharp in algorithmic thinking.
I'm open to collaborating on AI/ML projects. If you have any questions, feel free to reach out to me at [email protected].