About

I'm a software engineer at PointClickCare building AI-assisted systems that automate complex healthcare workflows. My work spans the stack, from frontend interfaces to backend services, AI workflows, data pipelines, and the cloud infrastructure that runs them.

Recently, I've been working on Referral Advisor, a platform that streamlines patient referrals across healthcare providers. Before that, I worked on Performance Insights, an analytics system used by skilled nursing facilities to understand clinical and operational performance.

I studied Computer Science and Business at Western University and the Ivey Business School. While there, I worked as a research assistant on decentralized energy systems and spent much of my time attending hackathons, experimenting with new technologies, and starting a few small ventures.

Outside of work, you can find me playing volleyball or tennis, trying new restaurants with friends (big foodie!), attempting to become a runner, or reading and carefully maintaining my Goodreads shelf.

Experience

Intermediate Software Engineer

2024 — Present

PointClickCare

Developed AI-assisted insurance verification workflows, scalable X12 data processing infrastructure, and improvements to large analytics pipelines. Focused on making complex operational processes faster, more reliable, and easier for teams to build on. The systems support healthcare providers processing millions of eligibility checks and analytics queries across multiple products.

JavaSpring BootSQLReactTypeScript
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Projects & Research

Autonomous Peer-to-Peer Virtual Net Metering Using a Distributed Ledger

2024

Solar Energy Advances

Led the design of a software framework enabling autonomous peer-to-peer virtual net metering for solar photovoltaic distributed generation. The system leverages distributed ledger technology to facilitate secure, automated energy transactions between participants.

SolidityJavascriptTruffleEthereum Distributed Network

Remove Radon — Canadian Radon Risk Prediction

2024

ML system predicting residential radon risk using Canadian environmental datasets, deployed on AWS Lambda. Evaluated regression models across four datasets, engineered features, containerized the model with Docker, and designed integration path for smart thermostat automation.

PythonNumPyscikit-learnDockerAWS LambdaAmazon ECR

RoBotany

2023

Hack the North Finalist

LLM-powered plant care assistant with hardware integration. Uses Arduino sensors for real-time soil moisture and light monitoring, with NLP classification via BentoML and Cohere for natural conversation.

ReactPythonNode.jsArduinoCockroachDBBentoMLCohereAWS EC2
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Learning

Microsoft Certified: Azure AI Engineer Associate

2025

Microsoft

Microsoft Certified: Azure Data Engineer Associate

2024

Microsoft