I build robust, scalable systems and AI-powered products — from multi-agent workflows and RAG pipelines to production-ready applications. With a background in Software Engineering, I bring a first-principles approach to software architecture.
My journey began in Mechanical Engineering with a minor in Software Engineering at the University of Calgary, where I learned the art of solving complex physical problems. Today, I apply that same engineering rigor to the digital world.
I'm not just a coder (or vibe-coder); I'm a builder. I founded FitMVMT because I believe in ownership and the power of software to solve real-world inefficiencies. I also build AI-powered systems at scale — from multi-agent workflows and RAG pipelines to internal tools that buy back hundreds of hours for engineering teams.
Whether it's architecting a scalable backend, designing a fluid user interface, building autonomous agents, or defining product strategy, I thrive at the intersection of engineering, AI, and business.
A two-sided marketplace connecting personal trainers with clients. Features include real-time scheduling and messaging, payment processing, delayed trainer payouts, and revenue sharing logic. It's like Fiverr but for personal training.
An AI-powered Production Engineering assistant that helps engineers with daily tasks by querying multiple source systems, aggregating data, and delivering context-aware responses. Features reasoning capabilities to interpret ambiguous questions and a self-learning loop that improves results over time. Recovered hundreds of hours per month for engineering teams.
An AI-powered knowledge assistant built using Retrieval-Augmented Generation (RAG). Supports uploading, parsing, and managing documents directly from the frontend, and chatting with the knowledge base across multiple sessions.
University of Calgary
4.0/4.0 GPA