I recently joined as a Machine Learning Engineer at M2M Tech, where I build agentic AI systems designed to make education smarter, more personal, and adaptive. I love working at the intersection of machine learning and full-stack development, turning research ideas into real tools that help people learn better.
I'm currently a student at UBC, and outside of my work, I spend a lot of time exploring the research side of AI reading papers on model architectures, tokenization methods, and hallucination behavior in large language models. I enjoy diving into how these systems actually work under the hood and how we can make them more reliable and interpretable.
- Prepleet — an AI-powered interview practice site for computer science students
- Building intelligent education agents that personalize learning experiences
- Scaling and deploying ML systems using AWS (SageMaker, Lambda, ECS, Bedrock)