Phoenix, Arizona, United States
2024 — 2024
Phoenix, Arizona, United States
Contract via [Insight Global](https://www.linkedin.com/company/insight-global)
2023 — 2024
Refined an existing TypeScript React codebase, introducing tests and implementing performance optimizations to improve software reliability and encourage user adoption
Expanded the network configurability of a custom Rust server, allowing multiple instances of itself to run on separate hosts
Deployed two new instances of the custom Rust server on virtual machines running behind a load balancer, doubling the maximum number of concurrent WebSocket connections
Utilized Ansible for automating the configuration and deployment of servers, working across teams to streamline operations and maintenance processes
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Contract via [Prosum](https://www.linkedin.com/company/prosum)
Tempe, Arizona, United States
Advocated for and commenced the development of an AWS Cloud Development Kit (CDK) abstraction library, using best practices and secure defaults to strengthen the company's Infrastructure as Code (IaC) adoption strategy
Built a highly scalable API using AWS API Gateway and AWS Lambda functions, laying the groundwork for seamless adoption of a critical third-party API
Revitalized legacy Node.js and Express servers by incorporating TypeScript into existing JavaScript codebases, updating libraries with existing security vulnerabilities, and improving error visibility
Enhanced CI/CD for crucial TypeScript repositories by switching from Node.js to Bun, optimizing Docker images, and parallelizing BitBucket Pipelines tasks, reducing pipeline times by 50-75%
Led the development of intricate data and machine learning pipelines central to the music analytics platform, utilizing Python, Docker, and AWS ecosystems for model preparation, training, and deployment
Designed and developed a scalable microservices architecture for automated data ingestion from third-party APIs into cloud-hosted MySQL, MongoDB, and Snowflake databases
Built robust internal and commercial APIs using Flask, FastAPI, and BentoML to facilitate real-time data processing and analysis
Created comprehensive dashboards using TypeScript and React to streamline system operations and enable advanced data analysis
Implemented CI/CD paradigms using TeamCity, ensuring agile, tested, and consistent software delivery cycles
Education
2016 — 2020
Barrett, The Honors College
Bachelor of Science - BS
2016 — 2020