Software engineer focused on backend systems, cloud infrastructure, and AI developer tooling. Computer Science and Mathematics at the University of Toronto, graduating May 2027.
I build backend and cloud systems in Java, Python, C#, and TypeScript. Across three internship terms and UTMIST, I have worked on SaaS backup infrastructure, enterprise applications, and an AWS-deployed MCP platform for AI agents.
For Agentiiv, an AI consulting partner, I led an eight-person UTMIST team building a platform to manage Model Context Protocol servers for AI agents. I designed the FastAPI backend and PostgreSQL schema, containerized the application with Docker, deployed it on AWS, and converted stakeholder requirements into the technical plan.
Promoted directly from Development Team Lead. I oversee internal and industry-partnered ML engineering projects, turning proposals into roadmaps, hiring technical teams, tracking milestones, removing blockers, and keeping leads, developers, stakeholders, and partners aligned.
Owned technical direction and delivery for the MCP platform, dividing work across eight developers, guiding implementation decisions, and tracking progress in Jira.
Built Java and Quarkus services for a customer application that connects SaaS platforms and runs cloud backups. Managed the supporting AWS Lambda, DynamoDB, and CloudWatch resources, wrote integration tests, and helped upgrade the codebase to a new major version of the AWS SDK for Java.
Completed two terms across Advantage CSP and Bell Canada's order management software. Built a C# analytics service and dashboard, then developed interfaces from Figma designs over Node.js APIs and SQL Server and presented the work to Bell stakeholders.
cGPA 3.9/4.0. Dean's List every year. First place in the MCP Trust Gateway Case Competition at EigenAI. Reuben Wells Leonard Scholarship and Connie P. Dickson Scholarship.