Software Development Engineer who ships production data and machine-learning
systems at scale. Over three years at Amazon —
promoted twice — I built ML and LLM-powered products,
owned petabyte-scale data infrastructure, and led the reliability,
performance, and cost work that keeps large systems healthy. I do my best
work on ambiguous, cross-team problems that need someone to own them end to end.
Experience
Software Development Engineer
Amazon · Vancouver, BC
Intern → SDE I → SDE II · 2022 – Present
Designed and shipped a production LLM application on Amazon Bedrock
that automatically assesses the cross-team impact of new projects, giving leadership
early visibility into conflicts that used to surface only after launch.
Built and launched personalized recommendation models for Amazon Fresh
and Whole Foods, owning the machine-learning pipeline end to end — from data to
real-time serving.
Owned petabyte-scale data infrastructure behind grocery analytics and
ML, cutting its cloud spend by over 90% while data volume kept growing.
Migrated petabytes of data into privacy-compliant (GDPR/CCPA) data
lakes with zero downtime, and led a JDK 17 upgrade that significantly reduced compute
cost across services.
Kept business-critical fulfillment services reliable at 99.9%+ availability
across multiple AWS regions, leading incident response and on-call.
Re-architected scheduled ML workflows to run event-driven, cutting
end-to-end run times from hours to minutes and removing manual operational toil.
Mentored engineers and interns and shaped technical direction through design and code
review — promoted from intern to SDE II in three years.
Software Developer — Full-Stack & Security
Department of National Defence · Ottawa, ON
2019 – 2020
Built internal workflow applications with Spring Boot (Java) and
Angular — e-signatures, notifications, and role-based access —
improving end-to-end performance by 50% and serving as scrum master.
Stood up a full CI/CD platform (Azure, Docker, Kubernetes, Jenkins,
Terraform, SonarQube) and authored an XML digital-signature library used across applications.
On the security side, contributed to Assemblyline (open-source malware
analysis), building a Python service that de-obfuscates and emulates malicious
Excel 4.0 macros to generate threat reports — without executing the payload.
Education
B.Sc., Computer Science
University of British Columbia
2017 – 2022
Coursework in algorithms, machine learning & data mining, NLP, databases,
operating systems, and ethics.
CS Student Society — Social Officer & First-Year Representative.