I'm a Computer Science and Applied Mathematics student at the University of Alberta with a passion for machine learning, full-stack development, and solving real-world problems through code. Currently working as a Machine Learning Research Assistant focusing on wildfire risk prediction using deep learning and satellite imagery.
- 💼 RL @ AMD
- 📫 How to reach me: ktan6@ualberta.ca
Machine learning project for early Alzheimer's risk assessment through speech analysis
- Tech Stack: Python, BERT, Hugging Face, PyTorch, Flask
- Team: Undergraduate AI Society (7 members)
- Focus: NLP model fine-tuning, hyperparameter optimization with Optuna
Deep learning solution for automated wildfire risk prediction using satellite imagery
- Tech Stack: PyTorch, Computer Vision, Geospatial Data
- Application: Real-world remote sensing and risk assessment
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ML SWE Intern @ AMD (May 2026 - Current)
- Working on AMD Schola - https://gpuopen.com/amd-schola/
- Applied RL in Unreal Engine!
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Machine Learning Research Assistant @ UAlberta Engineering (Sept. 2025 - Jan. 2026)
- Developing deep neural networks for wildfire detection using PyTorch
- Working with satellite imagery and geospatial data
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Teaching Assistant @ UAlberta (Sept 2025 - Jan. 2026)
- Introduction to Tangible Computing
- Mentoring students in Python best practices
I'm always interested in collaborating on machine learning projects, open source contributions, or discussing innovative ideas in AI and software engineering.
⭐️ From kainotkai