The Pennsylvania State University
Master of Software Engineering
Alonso Cadenas
Overview
Dynamic software engineer with 12+ years of experience delivering impactful products fast, and 5+ years managing diverse teams. Passionate about empowering software engineers to operate creatively and independently, and bridging cross-functional teams to solve customer problems. Committed to fostering an inclusive culture of excellency and leveraging innovative technologies.
Technical Skills
- Languages: TypeScript, JavaScript, Kotlin, Ruby, PHP, Go, Java, Groovy, Python, HCL, C++, and DQL.
- Tools: React, Redux, Next.js, Node.js, AWS, Terraform, Jest, Jasmine, Playwright, Cypress, WebdriverIO, Angular, Spring, Maven.
- Databases: PostgreSQL, MySQL, Oracle, DynamoDB, and SQL Server.
- Development Environments: JetBrains, VS Code, Claude Code, GitHub Copilot, Eclipse, Visual Studio, CodeBlocks, PyLab, and Vim.
- Open Standards: HTML, XML, SASS, JSON, CSV, Git, Docker, and LaTex.
- Methodologies: Agile (Scrum, Kanban, and Pair Programming), Spiral, Waterfall, and Iterative.
Education
Baylor University
Bachelor of Science in Applied Mathematics
- Concentration in Differential Equations
- Minor in Computer Science
Experience
Euclid Power
Technical Lead Manager
HubSpot
Technical Lead
Gartner
Software Engineering Lead
Gartner
Senior Software Engineer
The Home Depot
Software Engineer (Contract)
General Motors
Software Developer
General Motors
Release Manager
Projects
EcoWaste
Progressive Web App that helps people live sustainably by teaching them how to properly dispose of their waste.
Team Dysfunctions Assessment
Next.js application providing an online assessment from “The Five Dysfunctions of a Team” by Patrick Lencioni.
Seats
Angular 8 application to help guests locate assigned seats at wedding venues.
365Tacos Blog
Developed and authored a blog featuring reviews of local taco eateries and used Google Analytics to monitor site activity.
Amovio
Created a product to increase employee satisfaction and productivity in an office setting by anonymously analyzing Wi-Fi signals.