About me

I am a data scientist specializing in AI, NLP, and computer vision. My current role at McGill University focuses on building an AI assistant for GEO BON, a global network of 3,500+ biodiversity researchers spanning 152 countries and 2,000 organizations. This RAG-powered agent leverages open-source LLMs such as Llama and DeepSeek, offering capabilities ranging from coding and application interactions to statistical data analysis, delivering reference-backed, reliable, and actionable solutions.

Previously, at the Interactive-OR Lab, I applied computer vision on edge devices to tackle urban mobility challenges. Before that, I worked as a data analyst at Canadian Tire and collaborated with the Toronto Transit Commission (TTC) as a machine learning consultant to enhance AI-driven transit solutions. I hold a master’s degree from Toronto Metropolitan University, where I was part of the Laboratory for Systems, Software and Semantics, developing a recommendation system for question-answering platforms like Stack Overflow.

For my latest projects, check out the projects page.

Interests

I’m passionate about using AI to solve real-world challenges, particularly in NLP and computer vision. I’m also eager to explore emerging areas of machine learning, from healthcare and finance to autonomous systems.

Experience

Data Scientist, AI Engineer | Sep 2024 - Present

Data Scientist, Computer Vision Engineer | Jun 2023 - Sep 2024

Data Analyst | Sep 2021 - Sep 2022

Machine Learning Consultant | Jan 2021 - Jun 2021

Data Scientist | Sep 2019 - Jun 2021