Jul 2023 – Apr 2026 · 2 yrs 9 mos · Remote

• Building Cloudflare's next-gen Rust ingress proxy.
• https://blog.cloudflare.com/author/evan-rittenhouse/
• Core maintainer for tokio-quiche, the bridge between the Tokio runtime and Cloudflare's QUIC/HTTP/3 implementation, and h3i, a low-level HTTP/3 testing and debugging client.
• Leading traffic migration from old Nginx-based proxy to new Rust-based proxy, coordinating with other teams to ensure traffic moves safely and without outages.

Aug 2022 – Jul 2023 · 11 mos

Jun 2021 – Aug 2022 · 1 yr 2 mos

• Built Kafka pipeline to stream events in real time from production MySQL, Neo4j, SFDC, and MongoDB instances into Snowflake/Azure ML sinks. It incorporates transformation layers for easier reporting concepts and concrete calculations and an anonymization layer so machine learning teams can use real-time, secure data.
• Created an ETL pipeline to convert RDBMS databases into graph databases with an interface to easily add, edit, or delete configuration options, RDBMS dimensions, and graph node/relationship properties and features.
• Rebuilt internal Flask app from the ground up with 50% speed increase, fully asynchronous rendering and calculations, and Okta OAuth2.0 authorization flow.

Oct 2020 – Jun 2021 · 8 mos

• Built and maintained an end-to-end ETL pipeline of survey data from Google Sheets to Snowflake through a Python script on a recurring cron job and inserting into a table I designed with Slack-bot handled logging
• Added OAuth2 login flows, downloadable datatables, linear regression lines, and business-unit filters to our internal BI tool built on Plotly and Dash
• Service data to various internal and external stakeholders through SQL pulls, Excel manipulation and analysis, and Python analysis or wrangling through pandas, numpy, etc.

May 2020 – Oct 2020 · 5 mos · San Jose, California, United States

• - Worked with a Senior Programmer and DBA to create a custom statistics tracking desktop application with a SQLite backend and PyQt (eventually moved to Flutter) frontend.

Jan 2020 – Jun 2020 · 5 mos

• Support economics leadership including UCLA professor on several long-term studies, performing statistical, qualitative, and quantitative analyses to gain insights and feedback using STATA.
• Develop macros, special formulas, and STATA programs to merge, regress, and scrub datasets with more than 27 million data points.