
As a University of Toronto President's Scholar in Computer Science, I am a highly driven Software Engineer specializing in Computer Vision, committed to building high-quality, impactful software.
- Engineered and optimized scalable data pipelines using Azure Data Factory and Databricks, leveraging Python (PySpark) and SQL to streamline large-scale financial data processing.- Developed backend services and internal tools with Java, focusing on high-performance application logic and maintaining rigorous data integrity within cloud environments.



Focus: Developing software for a Self-Driving Lab (SDL) that integrates AI, robotics, and automation to accelerate materials discovery.
Computer Vision/ML: Assisted in creating a closed-loop calibration workflow for a 3D printing system by processing images into 3D models and using an optimization algorithm to suggest new parameters.
LLMs: Contributed to the development of LLM-based tools to analyze bibliometric data, enhancing research team composition and publication impact analysis.



Data Quality & AI: Enhanced search result precision by evaluating and analyzing 150+ weekly tasks related to digital maps and web queries.Classification: Classified and optimized various data sets to be used for future AI-based projects and verified AI text responses by researching and cross-referencing scientific sources.

Had a lot of fun!!!




A research-based health tracking application developed by a University of Toronto Computer Science student and a Med School student. We invested 12 hours searching and finding the correct researches, then hand-picked 18 different studies through hours of hard work. We do not use LLMs or other AI tools to suggest anything to users—we believe they are more valuable than that. Our algorithms are built only and only from those 18 hand-picked researches.




Camping Buddy AI is a stateful, full-stack AI chat application designed to simplify trip planning for outdoor enthusiasts. Built on Cloudflare Workers with Durable Objects for persistent state management and powered by Workers AI (Llama 3.3 70B), it provides intelligent, context-aware camping advice.
