Aaron Wood is a seasoned software engineer and infrastructure leader with 15 years of experience building secure, high-scale distributed systems and cloud-native platforms. Based in California, he has driven architecture and technical leadership at Broadcom and VMware—leading service mesh, networking, and secure SaaS onboarding features—and previously built a petabyte-scale private cloud and Mesos-based platform at Verizon Labs. He is polyglot across systems languages (Go, C/C++, Java, C#, Python, TypeScript) and databases (MySQL, Postgres, InfluxDB, Neo4j, Cassandra), with a strong focus on Linux, security, and networking. An active open-source contributor, his work on DC/OS improved container build and cleanup workflows and he hardened crypto in Go libraries by migrating AES from CFB to GCM. Colleagues value him for combining hands-on engineering with pragmatic automation and a track record of turning complex, fragile systems into reliable, self-healing platforms.
14 years of coding experience
14 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Framingham State University
Computer Programming, Computer Programming at Bristol Community College
This is an open source project for commonly used functions for the Go programming language.
Role in this project:
Back-end Developer
Contributions:10 commits, 3 PRs, 15 comments in 1 day
Contributions summary:Aaron primarily focused on improving the security and functionality of the Go-based library. They refactored the AES encryption and decryption methods, switching the mode from CFB to GCM. They also addressed code quality by renaming variables, fixing comments, and correcting data type issues. Additionally, the user added and tested AES encryption and decryption tests.
Contributions:5 commits, 5 PRs, 58 comments in 11 days
Contributions summary:Aaron's contributions primarily focused on improving the build and containerization processes within the DC/OS project. They addressed Docker client version compatibility issues, ensuring correct version detection. Furthermore, the user implemented container cleanup mechanisms, including naming conventions and automated removal of containers, thereby streamlining the build workflow. These changes involved modifying build scripts to accommodate and automate common operations.
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