Led project expanding access to the world’s largest genomic dataset, coordinating between vendors, the NIH, and security teams, by migrating to GDPR-compliant dependencies

Transformed testing infrastructure, improving CI success rates from 31% to 91%, reducing suite execution time from 40 to 21 minutes, and cutting CI costs by 58%

Engineered an LLM-powered utility that transforms Jira bug reports into ready-to-use database seed data, accelerating bug reproduction and boosting developer efficiency

Drove architectural decisions enabling my team to cut two weeks from each release cycle

Improved developer productivity across teams by optimizing build systems (minutes to seconds) and reducing on-call alert noise from 42 to 3 weekly notifications

Cultivated engineering excellence by leading book clubs (software design, testing), delivering talks (OAuth/OIDC, system design), and authoring essays (architecture, monitoring/alerting)

Many of my contributions were open source:

https://github.com/all-of-us/workbench/pulls?q=is%3Apr+author%3APeter-Lavigne

Achieved 65% automation of a manual task done thousands of times per day by augmenting a machine learning system with a rules system

Gave multiple company-wide technical demos, including one on early generative AI tooling

Taught classes on testing practices, such as what TDD is and when it is most and least useful

Reduced invalid user contact info by 83% by creating data diagnostics tools for users

Established a bug triage and prioritization process, significantly decreasing our bug backlog

Encoded entire AWS infrastructure in Terraform, allowing engineers to create separate production and development environments

Created the web client for the flagship app using React and Redux

Added search functionality to the app using Elasticsearch and AWS lambda

Converted a legacy budgeting page to React and added new functionality

Improved usefulness of customer feedback by moving it into a searchable database

Fixed Shopify sites using HTML and CSS