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quantum-yeti/README.md

Software Engineer

M.S. in Software Engineering, Penn State University 路 2024

I build and ship software across desktop applications, backend systems, automation, data processing, and Android. Most of my work starts with a practical problem and ends with something people can actually use.

Portfolio 路 LinkedIn 路 Microsoft Store 路 Google Play

Technical Skills

Languages: Python 路 Java 路 SQL

Frameworks & Libraries: PySide6 路 PyQt6 路 Spring Boot 路 Android SDK 路 Pandas 路 NumPy 路 Scikit-Learn

Tools & Platforms: Git 路 GitHub Actions 路 Docker 路 Jenkins 路 JIRA

Engineering: REST APIs 路 CI/CD 路 Automated Testing 路 OOP 路 Multithreading 路 Async Programming

Featured Projects

ScratchBoard 路 Python / PySide6

Desktop application built for ISP support teams, combining modem log parsing, MAC address and vendor lookups, password generation, note-taking, and other common support workflows in one tool.

The application was adopted by 10+ teams at a Fortune 500 ISP, where it contributed to a measured 20% improvement in productivity, and is distributed through the Microsoft Store.

Prophecy 路 Java / SQLite

Financial forecasting application developed as my master's thesis project. Processes financial datasets, applies linear regression, and automates trend analysis and forecasting reports.

What I Like Building

Backend systems, desktop applications, automation tools, data pipelines, APIs, and software that solves a real problem.

I'm particularly interested in software engineering roles involving backend development, distributed systems, automation, data, and AI/LLM-powered applications.

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  1. ScratchBoard ScratchBoard Public

    Lightweight desktop productivity app designed for customer service representatives at ISPs, available on the Microsoft Store.

    Python 1