Software Engineering Technical Leader (Staff SWE) at Cisco
Elk Grove, California, United States
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Summary
👤
Senior
🎓
Top School
Ryan Palo is a Staff Software Engineering Technical Leader with a decade of experience transitioning from mechanical design to building resilient cloud-native systems in cybersecurity. He writes high-quality Python, Go, and TypeScript, and has driven backend, DevOps/SRE, and tooling work that automates data collection and hardens operations at scale. Ryan pairs hands-on engineering with leadership—running collection engines at Flashpoint and now supporting malware and attack analysis at Cisco—while bringing practical experience in Kubernetes and cloud deployments. His open-source contributions span frontend accessibility fixes for a popular community platform and Python data-science tutorials, showing both breadth and attention to usability. Notably, his background designing hundreds of injection-mold tools and creating an ISO 9001 quality system gives him a rare blend of manufacturing-grade process rigor and software craftsmanship.
10 years of coding experience
12 years of employment as a software developer
California Polytechnic State University, San Luis Obispo
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Lewis University
Contributions:4 reviews, 7 commits, 8 PRs in 3 years 4 months
Contributions summary:Ryan contributed to the accessibility of the frontend by adding `aria-label` attributes to interactive elements, improving screen reader functionality. They refactored the `ArticleHelper` and implemented tests to ensure the host name extraction function worked as expected. Additionally, the user worked on deploying the application by extracting development-specific configurations into environment variables and fixing RSS feed validity.
Bonus materials, exercises, and example projects for our Python tutorials
Role in this project:
Data Scientist
Contributions:6 commits, 1 PR, 3 comments in 1 month
Contributions summary:Ryan contributed to a repository focused on Python tutorials and bonus materials, specifically demonstrating skills in data science. The user added materials for a NumPy tutorial, implementing mathematical functions such as the Maclaurin series for approximating e^x and code for curving grades. They also converted images to grayscale using NumPy and Matplotlib and validated the normal distribution.
python
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