I build machine learning systems, NLP pipelines, and AI-powered tools that solve real problems. Currently pursuing a Master of Professional Studies in Analytics (Applied Machine Intelligence) at Northeastern University, Toronto.
I transform messy, complex data into decisions that move businesses forward. From predicting financial risk to decoding customer sentiment at scale, my work connects machine learning to outcomes that actually matter.
With a background in Computer Science and hands-on expertise in Python, SQL, and ML, I build systems that don't just look good in a notebook. They solve real problems, reduce costs, and surface insights that drive strategy.
01
AI assistant that helps operators of mission-critical banking systems spot problems early and act safely. Caught 3 of 3 incidents, one 40 minutes early. Built at Catalyst 2026 for CAIL.
02
AI-powered assistant for hospital inquiries and appointment scheduling using NLP and intent recognition.
03
Classification model predicting loan defaulters using decision trees and logistic regression on financial data.
04
NLP pipeline classifying thousands of Amazon reviews into positive, neutral, or negative categories.
05
XGBoost regression model predicting kids' product resale prices using brand, condition and item type.
06
Content-based engine suggesting products using user preferences and cosine similarity.
Open to data science and AI roles, co-op opportunities, and collaborations. Based in Toronto and open to remote work.