- Developed an anomaly detection model using GANs and WGANs for 3D reconstruction tasks, achieving a high Area Under the Curve (AUC) score of 87%.- Leveraged advanced machine learning techniques to classify and detect anomalies in 3D models, optimizing model accuracy and performance through iterative loss minimization and latent space exploration.- Research presented at the Ugrd Eng Conference at the University of Toronto.

- Collaborated with clients to implement and customize financial software solutions, conducting workshops for software understanding and engagement.- Managed task delegation and coordinated changes to meet client needs effectively.- Analyzed individual client requirements and product offerings to tailor software configurations accurately.- Strengthened relationships by addressing inquiries promptly and delivering tailored solutions, leading seamless client server migrations to enhance system efficiency.

- Developed a predictive model: Used LSTM networks to forecast homeless shelter occupancy, improving resource allocation and operational efficiency.- Optimized shelter management: Created a forecasting tool for dynamic adjustments in staffing, meals, and capacity, enhancing service delivery.

- Instructed students in Physics, Chemistry, and Math- Organized schedule for numerous students- Prepared lesson plans for teaching- Graded and offered guidance to students to improve test scoresDeveloped skills in teaching, problem solving, and organizing.

- Interacted with SHADS from across Canada- Attended Numerous workshops and lectures- Constructed a prototype for an application that reduces fast fashion through gamification- Completed numerous projects that uses scientific knowledge more applicably- Learned the Engineering Design processDeveloped Skills in Science and Technology, Engineering design process, and Public speaking