Jack Fragassi is a Software Development Engineer with six years of full‑stack experience, currently at Amazon and an active committer on Apache Superset. He builds scalable web applications using JavaScript/TypeScript, React/Redux, Ruby on Rails, PostgreSQL and Python, and pays close attention to future-proofing systems and testing. His open-source work on Superset’s alerts and reports — including timestamp unification, UUID/Celery task ID integrations, and test improvements — shows comfort across frontend, backend and database schema changes in a high-profile data-visualization project. A statistics graduate from Cal Poly and a product-minded web developer trained at App Academy, he combines analytical thinking with hands-on engineering. A lifelong strategist (board-game enthusiast) he treats software problems as evolving puzzles, favoring optimal, adaptable solutions.
5 years of coding experience
California Polytechnic State University, San Luis Obispo
Apache Superset is a Data Visualization and Data Exploration Platform
Role in this project:
Full-stack Developer
Contributions:95 reviews, 10 commits, 101 PRs in 1 year 10 months
Contributions summary:Jack contributed to both the frontend and backend of the Apache Superset project, focusing on alerts and reports functionality. They implemented timestamp unification in the execution log view, addressing frontend code in TypeScript/React, and also worked on backend tasks related to execution log improvements, incorporating UUIDs and Celery task IDs, which involved Python and database schema changes. The user's work also extended to testing, improving the reliability of the alerts and reports systems.
Contributions:56 commits, 2 PRs, 45 pushes in 2 months
reactreduxrobinhoodgraphqltypescript
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Jack Fragassi - Software Development Engineer at Amazon