Software engineer · Product systems, cloud, and applied AI
Ship fast. Scale confidently.
I turn complex ideas into dependable web, mobile, cloud, and AI products. I take them from architecture to launch and beyond.
A portfolio built around shipped systems, cloud-backed applications, AI-enabled product work, and the habits required to move complex projects forward.
How I work
I build software around the realities of delivery: clear priorities, sound technical decisions, and steady execution.
I have led engineers and shipped full-stack products, payment integrations, cloud systems, and AI-enabled tools. I stay close to the product and the code, raise risks early, and keep stakeholders informed.
The goal is straightforward: launch with confidence, understand how the product is performing, and leave the team with a system they can support and improve.
Explore the stack
The languages I use across product, systems, data, and research work.
UI systems for product interfaces, content sites, and data-rich workflows.
Tools for making client-side state predictable without overbuilding it.
Cross-platform delivery for mobile-first product and health workflows.
Application services ranging from fast product APIs to structured enterprise backends.
Relational, document, graph, key-value, and caching systems chosen around access patterns.
Managed building blocks for authentication, data, storage, and real-time features.
Libraries and extensions that connect application models to storage and retrieval.
Communication patterns selected around latency, interoperability, and delivery guarantees.
Infrastructure for decoupled services, durable events, and asynchronous workflows.
Infrastructure and delivery systems for repeatable, observable releases.
Feedback tools spanning units, components, APIs, and end-to-end product behavior.
Signals that make production behavior explainable instead of mysterious.
Orchestration tools for retrieval, tools, memory, and multi-step agent workflows.
Research and production tools for training, evaluating, and integrating models.
Image and video tooling for preprocessing, models, and real-time perception.
Local model workflows for privacy, control, and rapid experimentation.
Visual workflow tooling for integrations and operational automation.
No technology matches that search.
Working principles
Clear code, documented decisions, and systems teammates can understand, own, and improve.
I keep priorities clear, progress honest, and raise risks early so decisions happen before problems grow.
I enjoy working alongside my teammates. I share context, remove blockers, and help people do work they are proud of.
A closer look at the systems I have built, the problems they solve, and the responsibilities I owned.
A connected web and mobile platform designed to help churches support community engagement and day-to-day ministry work.
A hackathon-built hiring intelligence platform that helps teams compare candidates against job criteria and review AI-supported evidence.
An AI-assisted knowledge-management prototype our team built in 48 hours for the 2026 Sprint to Innovate challenge.
A full-stack learning platform that turns PDFs and presentation slides into collaborative, AI-guided lessons.
A full-stack website and community platform built for a Winnipeg nonprofit focused on learning, mentorship, and digital opportunity.
A responsive training platform that helps people explore professional courses, schedules, and certification opportunities.
A full-stack website and education platform built for a Canadian nonprofit learning centre.
A fashion marketplace that serves shoppers, suppliers, and internal teams, from AI product discovery through payment, fulfilment, returns, and reporting.
A responsive real estate website that helps prospective buyers discover properties, explore neighbourhood information, and request appointments.
A responsive website for a Winnipeg law office, designed to make legal-service information clear and accessible across devices.
CENCADIAN Educational Incorporated
University of Winnipeg, PACE
Aromo Health
University of Winnipeg
Best fit: full-stack software engineering roles, AI-enabled product teams, cloud-backed applications, and teams that value clear ownership.
If my background lines up with a software engineering role or product challenge, send the context and the outcome you are trying to reach. I read every serious note and respond with next steps when there is a fit.
