Annie Lee

Designed and deployed a full-stack curriculum platform with authentication, role-based access control, centralized content delivery, and progress tracking, serving 200+ students and instructors daily and contributing to a 91% student re-registration rate. Developed an instructor-facing LMS that centralized management and standardized lesson delivery, supporting expansion into two new branch locations. Identified operational inefficiencies and independently engineered a management platform that automated workflows across three locations, saving 15 hours weekly and an estimated $23K+ annually.

Robotics Coach → Software Developer at Techblazers (2025-05 – Present)

• Designed and deployed a full-stack curriculum platform with authentication, role-based access control, centralized content delivery, and progress tracking, serving 200+ students and instructors daily and contributing to a 91% student re-registration rate.
• Developed an instructor-facing LMS that centralized management and standardized lesson delivery, supporting expansion into two new branch locations.
• Identified operational inefficiencies and independently engineered a management platform that automated workflows across three locations, saving 15 hours weekly and an estimated $23K+ annually.
• Translated instructor and administrative needs into practical software features, iterating through user feedback, testing, and production use.

Full-Stack Engineer at Veridocx (2024-09 – 2025-09)

• Engineered production RAG pipelines using vector embeddings, semantic search, and custom LLM workflows, improving context-aware response accuracy by 32%.
• Built AI-enabled document-processing and retrieval systems integrating data ingestion, vector search, backend services, RESTful APIs, and user-facing workflows.
• Containerized services with Docker and deployed cloud infrastructure across AWS and Azure, improving scalability, release reliability, and environment consistency.
• Diagnosed and resolved integration and data-flow issues across frontend, backend, retrieval, and LLM components, improving production system reliability.

Backend Developer Intern at BASE (2023-05 – 2023-09)

• Designed real-time messaging services and WebSocket APIs in Go, supporting low-latency message delivery, user presence tracking, and client-server communication.
• Optimized Couchbase query performance and data access patterns for high-volume chat history retrieval, reducing response latency across messaging workloads.
• Developed, tested, and debugged production backend features through Agile/Scrum sprint planning, code reviews, and iterative releases.

BSc in Computer Science – University of Toronto (2023-09)