Patrick Wang 647-766-8627 | p39wang@uwaterloo.ca | LinkedIn | Github Education University of Waterloo Waterloo, ON Bachelors in Computer Science - 4.0 GPA • Scholarships: Michael Egan Entrance Scholarship in CS, uWaterloo President’s Scholarship of Distinction • Coursework: Object Oriented Programming, Data Structure and Algorithms, Compilers, Processors Experience CTO Feb 2026 - Present Oro - AI-assisted closet + stylist app - buildingoro.ca Toronto, ON • Cut token usage of agent system by 40% by writing a compression algorithm from raw DB output to LLM input • Increased API throughput 40% by writing async endpoints and refactoring to use database connection pooling • Improved recommendation relevance by 20% using RAG context and prompt tuning for outfit generation • Cut S3 storage 35% by building a multimodal deduplication pipeline using computer vision and embedding similarity Software Engineering Intern May 2025 – Aug. 2025 Super.com Toronto, ON • Improved dependency resolution speed by 10 × by spearheading migration of Python services from Poetry to uv • Built and scaled a company-context MCP server serving 15,000+ invocations across 100+ users • Engineered MCP tools in Cursor to automate project-management workflows, saving engineers 30 minutes per day • Automated 10+ Kubernetes upgrade workflows with custom Claude skills, saving 50+ engineering hours • Architected a knowledge pipeline across internal dashboards to support cross-team RAG retrieval in LLM workflows Software Engineering Intern May 2026 – Aug 2026 Super.com Toronto, ON • Created CI pipelines to boot up and tear down 1:1 isolated copies of our K8s clusters + AWS resources, creating effective blast chambers for tests and risky upgrades • Built a real-time domain logger with Lambda, DynamoDB, and Datadog to detect 7 insecure egress domains • Cut AWSConfig–Datadog integration costs by 90% by forking + cost optimizing the official Terraform module • Led a zero-downtime migration of BI tooling from Periscope to Redash on AWS EKS using Helm • Eliminated years of Terraform drift by engineering an AWS and GitLab resource-crawling AI agent Projects RankedCRL | Competitive Clash Royale platform - rankedcrl.com - bot code Sept. 2025 – Dec. 2025 • Reduced p99 latency by 80% and enabled O(log N) matchmaking through an engine made with Redis Sorted Sets • Ensured easy and fast debugging of our services through setting up Sentry logging, monitors, and webhooks • Scaled the platform to over 500 users at its peak, while leading fullstack development + infra strategy BookshelfAI | Book Management App - Repository Sept. 2024 – Dec. 2024 • Shortened manual book entry time to 10 seconds with AI-powered book cover recognition using Gemini API • Reduced release time to 8 minutes by automating a Github Actions CI pipeline to test, containerize, and deploy • Secured user data with JWT authentication, BCrypt hashing, and PostgreSQL-backed persistence Technical Skills Languages : Python, TypeScript, JavaScript, C++, Java, SQL, Bash Frameworks : FastAPI, Flask, Nest.js, Node.js, Express.js, PyTest, Jest Infrastructure & Tools : AWS, Docker, Kubernetes, Terraform, Helm, GitHub Actions, Ansible, NGINX, DataDog, Sentry, Prometheus, Grafana Databases : PostgreSQL, MongoDB, Redis