Developed cutting-edge computer vision AI models and production-level machine learning systems.
Led a team of 6 to drive AI initiatives and optimize machine learning processes.
Developed a custom printing-based ecommerce app and launched on Play Store, generating affiliate revenue.
Coordinated training programs and managed cross-functional departments to enhance technical proficiency.
Taught computer science fundamentals and advanced topics to grade 11 and grade 12 at NIST.
Analyzed data and provided insights to optimize business solutions.
Provided detailed academic feedback and mentoring for improved learning outcomes.
Conducted training sessions on AI methodologies and best practices.
Gained valuable experience in data analysis and business solutions during my internship.
• Sold Bell Canada's internet, phone, and TV packages through direct customer interaction.
A system that predicts Premier League soccer outcomes.
Recommends which players to transfer in/out to win FPL gameweeks.
Generates reports by merging Excel stats with document templates using openpyxl.
Automates data entry from various sources for improved efficiency.
A Flask-based UI that returns CMHC zones (e.g., Fort Rouge, Centennial) based on an input address.
Predicts house valuation based on various buy/sell features.
A PowerBI based application that visualizes sales data.
Automates ETL processes with Apache Airflow for streamlined data pipelines.
