Software Engineer at Providence Health Care

Reduced costs by 100% by deploying a local LLM to handle medical inquiries, ensuring faster processing times and data privacy. Improved system performance and security through integration of a REST API in Django, connecting a PostgreSQL backend to a React frontend for real-time communication. Built an LLM-powered ETL pipeline converting text into structured JSON to enable clean data flow. Implemented Waterfall SDLC with weekly client meetings and user research. Developed a conversational AI agent increasing patient interaction by 45%, improving management of appointments and medications.

Developer Intern at Proa.AI

Increased system efficiency by 62% through automation of chatbot management, pattern identification for AI accuracy improvement, and performance monitoring using OpenAI model. Leveraged IBM Watson and backend enhancements to improve intent recognition, NLU, and dialog management. Boosted system reliability by 30% with automated E2E testing and debugging strategies. Improved conversational accuracy by 12% via rigorous QA testing, fixing errors, and providing feedback to enhance user experience.

Full Stack Developer at SFU Surge

Reduced data recovery time by 30% by creating a serverless REST API managing course evaluations, user authentication, and professor details. Developed a responsive UI using Next.js and React optimized for accessibility and UX across devices. Led the project to become a finalist in the Coast Capital Venture Prize with a collaborative business plan. Enhanced system performance and scalability by implementing a MongoDB database supporting over 10k course-related data queries under 1 second.

Full Stack Developer at Xlens

Improved face detection accuracy through advanced image preprocessing and model optimization. Built full-stack REST APIs for photo management, enhancing processing speed at scale using Python and AWS services.