Master of Science in Applied Computing - AI concentration

University of TorontoToronto, Ontario

Courses:

• - Neural Networks and Deep Learning
• - Deep Learning: Theory and Data Science
• - Causal and Moral Reasoning with LLMs
• - Vector Databases and Unstructured Data Query Processing

Bachelor of Software Engineering

Concordia UniversityMontreal, Quebec

Courses:

• - Data Structures and Algorithms
• - Machine Learning
• - Data Communication and Computer Networks
• - Database Systems
• - Operating Systems
• - Software Architecture and Design

Computer Science (Career Diploma)

John Abbott CollegeMontreal, Quebec

Through my studies, I have gained extensive experience in web and mobile development, databases and networking.

Research Assistant

McGill University (CardilleLab)Monteal, Quebec

Participated in research in the field of computational ecology. Projects include:

• - Developed a robust data pipeline to process and store terabytes of global satellite imagery focused on lakes
• - Implemented an Extended Kalman Filter to keep continual track of the expected values of satellite imagery
• - Applied machine learning techniques to fine-tune algorithm parameters for improved performance and accuracy
• - Designed and implemented various algorithms that performs supervised and unsupervised landcover classification using Bayesian methods
• - Containerized and deployed multiple web applications and databases on a self-hosted server
• - Designed and implemented user interfaces

Full-Stack Developer Intern

GenetecMontreal, Quebec

Contribute to the development of a cloud-based SaaS application. Tech stack includes: Angular, TypeScript, .NET Core, Azure Storage, Azure Service Bus, Azure Service Bus. Tasks include:

• - Front-end development (Angular)
• - Back-end development of microservices (.NET Core)
• - Bug investigation and fixes
• - Writing quality code following the CLEAN architecture
• - Unit and integration testing