Building practical machine learning solutions that solve real-world problems. From bioinformatics research to enterprise AI platforms.
Democratizing access to large language models. Open-source tools for local, private AI deployment with custom training and inference capabilities.
Visit Platform ↗Novel CNN architecture for predicting circRNA-disease associations.
Read Paper →High-performance inference optimized for production.
GitHub ↗Undergraduate Researcher
Deep learning algorithms for biological data analysis.
Co-Founder
Leading development of local LLM deployment tools and MLOps platforms.
First Author
"Deep Learning Algorithm with Gaussian Blur Data Pre-processing in Circular RNA Classification"
I'm a data scientist passionate about understanding complex patterns in data. My work bridges the gap between cutting-edge research and real-world applications, from bioinformatics to enterprise AI.
Currently focusing on democratizing AI through Kolosal AI and conducting research at UBC.
Interested in collaboration or have questions about my work? I'd love to hear from you.