AI & evaluation
OpenAI and Gemini APIs, prompt engineering, model evaluation, semantic similarity, RAG concepts, and human-in-the-loop review.
Engineer · Researcher · Builder
About
I’m interested in the point where intelligent systems stop being demos and become dependable parts of real work.
My perspective
Technical curiosity, grounded in use.
My work spans generative AI evaluation, API-driven automation, web application security, and full-stack software development. I care about what happens after a model produces an answer: whether the result is explainable, whether the surrounding workflow is secure, and whether people can make a better decision because of it.
I approach software as a system of tradeoffs. The goal is not to use the most technology; it is to create the clearest reliable path from a problem to an outcome.
Capabilities
A practical stack for intelligent products.
Software systems
Python, Java, JavaScript, TypeScript, React, Remix, REST APIs, SQL, Prisma, MySQL, and workflow automation.
Security thinking
OWASP Top 10, authentication, access control, web application security, threat modeling concepts, and secure API design.
Education
A foundation in computer science and inquiry.
2026
B.Sc. Honours in Computer Science
University of British Columbia Okanagan · GPA 3.9 / 4.33 · Dean's List 2024–2025
2024
Summer coursework
UC Berkeley · Artificial Intelligence · Computer Security