Francesco Capponi

San Francisco, California, United States

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Summary

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Rockstar

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Top School

Francesco Capponi is an entrepreneurial software engineer based in San Francisco with 11 years of experience building robust back-end systems and a passion for expanding educational opportunities through volunteer work (LeadTheFuture.tech). He combines formal training from UC Davis and Stanford’s Advanced Computer Security program with practical contributions to high-scale open-source infrastructure, including resilience-focused improvements to LinkedIn’s widely used rest.li framework. Francesco’s work shows a strong attention to reliability and exception-handling in asynchronous service components, reflecting deep system-level thinking beyond routine feature development. Comfortable in both startup and enterprise contexts, he blends hands-on coding with product-minded engineering to deliver maintainable systems. Outside of work he channels technical skills into education-focused volunteering, aiming to create pathways for students into tech.

11 years of coding experience

Computer Science Engineering, Computer Science Engineering at University of California, Davis

Computer Science Engineering, Computer Science Engineering at Alma Mater Studiorum – Università di Bologna

Stanford Advanced Computer Security, Stanford Advanced Computer Security at Stanford University

English, French, Italian

Github Skills (7)

unit-testing10

restful10

javas10

web-framework10

exception-handling10

rest10

java10

Programming languages (6)

TypeScriptJavaDockerfileCJavaScriptPython

Github contributions (5)

linkedin/rest.li

Feb 2017 - Aug 2020

Rest.li is a REST+JSON framework for building robust, scalable service architectures using dynamic discovery and simple asynchronous APIs.

Role in this project:

Back-end Developer

Contributions:94 commits, 2 PRs, 3 pushes in 3 years 6 months

Contributions summary:Francesco's commits primarily focused on enhancing the robustness of the `linkedin/rest.li` framework. The user refactored test code to handle unchecked exceptions, specifically `RuntimeException` and `Error`, within the `EntityStreams` component. The commits demonstrate a strong understanding of exception handling and its impact on the framework's stability, with changes made to address how exceptions are handled in different Observer, Reader, and Writer contexts. The modifications included new test cases to ensure correct behavior under various error conditions.

architecturesapiscalableasynchronousrestful

FreCap/kafka-connect-bigquery

Sep 2022 - Mar 2023

A Kafka Connect BigQuery sink connector

Contributions:6 PRs, 25 pushes, 10 branches in 6 months

sinkconnectorsink-connectorbigquerykafka-connect

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