Owned web application side of the CI/CD as a service platform and contributed to backend codebase (C#) and designs; Lead UI development (React), gathered requirements, created SRDs, and worked closely with UX teams to rebuild user experience from the ground up; Kickstarted CI/CD integrations with the DCIM (NetBox) and created ingestion tool to bootstrap NVIDIA datacenters (Python); Managed relationships with other teams, bringing them up to speed with NVIDIA CI/CD and Kubernetes best practices, creating pipelines (Jenkins), introducing them to Kubernetes, and giving them tools to create their own automation; Designed, developed and owned several Kubernetes operators (Golang), automating the process of creating new Kubernetes clusters, deploying NVIDIA application stacks, and managing the lifecycle of each application.

Worked in both Infrastructure and Machine Learning teams as part of the Performance Lab; Created microservice (Python) to collect, parse, sanitize, and validate large datasets for neural net training; Maintained and refactored legacy tools (Perl) in order to meet new requirements; Helped facilitate transition to gitlab from perforce and implement continuous integration pipelines

Participated in several sprints on engineering scrum team; Contributed to legacy code (Java/Groovy) and new microservices (Node.js); developed and released customer facing feature directly improving satisfaction

Participated in True Ventures fellowship learned about startups and early stage investment firsthand; worked a weekend of presentations about startups and scaling a company

Worked on project that automated deployment of distributed applications; integrated cloud instances, containers, AWS lambda and slack; Contributed to software framework that automates deployment of big data stacks; automated deployment of Apache Spark clusters and builds of Scala apps (Ruby/Bash)