Ricky Curtice
Senior Software Engineer at OneRail
California, United States
Summary
🤩
Rockstar🎓
Top SchoolRicky Curtice is a Senior Software Engineer based in California with 11 years of professional experience building and maintaining full-stack and infrastructure-driven SaaS systems. He has hands-on expertise across TypeScript/Node.js, Terraform, Docker, C#/ .NET, Qt/C++, and PostgreSQL, and has shifted between DevOps and backend roles to strengthen deployment, testing, and developer tooling. At OneRail he extended and hardened platform services while at SlideWave he supported a variety of backend integrations and private package workflows, reflecting a pragmatic focus on reliability and maintainability. He contributes to open-source tooling such as a maintained LinkedIn scraper, improving data validation, test coverage, and code hygiene. Comfortable moving between desktop, server, and infra layers, Ricky is motivated by creating richer “sandbox universes” — improving both the scope and polish of systems he touches. His background managing IT and CAD work in manufacturing adds operational empathy and a practical, systems-oriented viewpoint to software design.
11 years of coding experience
19 years of employment as a software developer
Associate of Science (A.S.), Computer Science / Game Programming, A, Associate of Science (A.S.), Computer Science / Game Programming, A at Sierra CollegeBachelor of Science (BSc), Computer Games and Programming Skills, A, Bachelor of Science (BSc), Computer Games and Programming Skills, A at DeVry University-California
Stackoverflow
53reputation
1kreached
4answers
1question
Github Skills (11)
crawler10
scraper10
puppeteer10
javascript10
nodejs9
testing8
json6
git6
vtk6
jquery6
gitignore6
Programming languages (14)
Github contributions (5)
linkedtales/scrapedin
May 2020 - May 2020
LinkedIn Scraper (currently working 2020)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 commits, 4 pushes, 9 comments in 4 days
Contributions summary:Ricky primarily focused on maintaining and improving the LinkedIn scraper functionality. They addressed issues related to data validation and cleaning within the profile data, ensuring the application's stability. Furthermore, the user updated URLs and addressed linting issues, contributing to the overall code quality and maintainability of the project. They also updated and reactivated tests.
pythonscrapylinkedin-scraperlinkedinscraping
kf6kjg/WHIP-LRU
Sep 2017 - Jun 2018
Contributions:330 commits, 158 pushes, 12 branches in 9 months
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