Portfolio
— Selected projects
1. End-to-End Recommender System — Tastet Project
— Designed and deployed a hybrid recommender system on GCP, benchmarking 8 ranking models with a dual-metric evaluation (F1-score + custom fairness metric). Event-driven ML pipeline with GCP Cloud Functions and weekly cron-based retraining.
— Mitacs-funded ($15,000+), supervised research at HEC Montreal with Prof. Laurent Charlin.
— Learn more about this → here
2. Product Recommendation Engine — Browns Shoes
— Engineered a recommendation engine leveraging order history patterns to personalize product grids in customer communications.
3. Olima.ai — Similarity-Based Recommendation App
— Built a similarity-based recommendation app using Wikipedia clickstream co-occurrence data and spectral embeddings. Celebrity similarity model deployed as a mobile app (React Native / Expo).
— olima.ai
4. AI-powered Quality Assurance Tool (GPT + HuggingFace)
— Prototyped an AI system to detect misleading product descriptions on e-commerce platforms using GPT and HuggingFace.
5. Text Classifier GPT Tool
— Built a GPT-4 powered tool for bulk text classification, deployed as a Streamlit app.
6. Customer Scoring System
— Predictive models for customer lifetime value, churn prevention, and engagement scoring.
7. Vibecope.ai — Get the Best Out of Claude
— Built a macOS dev tool using event hooks for real-time AI prompt coaching. Reads Claude sessions and injects coaching into context.
8. Data Reporting & Visualization
— Interactive dashboards and automated reporting infrastructure.