Hello, my name is Michael Li, a student at the University of Waterloo studying Mathematics with a Computing minor, focused on software engineering.
My coursework includes algorithms, data structures, linear algebra, object-oriented programming, computer systems, distributed systems, statistics, numerical computation, and databases.
I have completed 6 internships and nearly 2 years of part-time software development work across industries including computer vision, developer platforms, government, SaaS, payment systems, and infrastructure tooling.
Recent Work Experiences
Software Developer Intern
- Contributed to the development of OpsLevel, a internal developer portal that enables engineering teams to manage and streamline their service and infrastructures.
- Built and maintained frontend features using Vue.js and JavaScript, improving usability and responsiveness across core product experiences.
- Implemented backend functionality in Ruby on Rails, designing and consuming GraphQL APIs to support new product features.
- Developed features for the flagship AI Maintenance Agent, enabling automated repository maintenance through AI-driven workflows.
- Integrated with third-party platforms including GitHub, GitLab, and Bitbucket to support AI-powered repository maintenance and improve onboarding flows.
- Investigated and hotfixed production issues reported by customers, prioritizing fixes to maintain platform stability and reliability.
- Wrote unit tests using RSpec and Jest to validate backend and frontend functionality and prevent regressions.
- Collaborated in an agile environment, participating in daily standups, code reviews, and sprint planning with cross-functional teams.
Full Stack Developer Intern
- Contributed to the development of an AI-driven visual inspection system for vehicle components, supporting defect detection and quality assurance.
- Implemented event-driven, real-time updates using WebSockets and MongoDB Change Streams, enabling instant defect notifications and live visual feedback during inspections.
- Developed a full-stack analytics application using Vue.js, TypeScript, Python, FastAPI, and Docker to monitor inspection results, system performance, and historical accuracy metrics.
- Processed and analyzed AI inspection outputs to surface predictions, confidence scores, acceptance thresholds, and relevant quality metrics.
- Implemented reusable base CRUD routers to standardize API development and improve backend development efficiency.
- Collaborated with cross-functional teams to integrate software components and meet project timelines.
- Worked within an agile development process to manage tasks, iterate on features, and deliver milestones on schedule.
- Implemented integration tests using Postman and integrated them into the CI/CD pipeline using Newman CLI to improve release reliability.
Recent Projects
An Open Marketplace for AI Generated Images built with the MERN stack and Deployed on Google Cloud.
A Python Package that allows users to fetch advanced soccer statistics and data and expose it as an API or create Machine Learning Datasets.
