Skip to content
View Quantum-Yeti's full-sized avatar
👽
👽
1 follower · 0 following

Achievements

Achievement: Quickdraw

Achievements

Achievement: Quickdraw

Block or report Quantum-Yeti

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
quantum-yeti/README.md

Software Engineer

M.S. in Software Engineering, Penn State University (2024)

I build desktop applications, automation tools, backend systems, and Android apps — focused on software that actually gets used in production.

Portfolio · LinkedIn · Microsoft Store · Google Play

🛠 Technical Proficiency

Languages: Python · Java · SQL (PostgreSQL, MySQL, SQLite)
Frameworks & Libraries: PySide6/PyQt6 · Android SDK · Pandas · Scikit-Learn · NumPy · Spring Boot
Tools: Git · GitHub Actions · Docker · Jenkins · JIRA · PyTest · JUnit
Practices: REST APIs · CI/CD · Agile/Scrum · OOP · Multithreaded/Async Programming

🚀 Featured Engineering Projects

ScratchBoard · Python, PySide6
Desktop automation platform for ISP teams — modem log analysis, MAC lookups, password generation, and note-taking in one lightweight interface. Adopted by 10+ teams at a Fortune 500 ISP with a measured 20% productivity improvement. Published on the Microsoft Store.

Prophecy · Java, SQLite
Linear regression engine for predicting financial outcomes built as my MS thesis project. Ingests raw financial datasets and automates trend identification and forecasting reports.

WiFi Muscles · Java, Android SDK Android network diagnostic app using Android Telemetry APIs and real-time interactive charting to visualize signal reliability. Available on Google Play.

Market Basket Analysis · Python, Pandas, Scikit-Learn
Predictive modeling pipeline using the Apriori algorithm to identify consumer purchasing patterns. Includes interactive dashboards and association rule visualization.

Pinned Loading

  1. MarketBasketAnalysis MarketBasketAnalysis Public

    Engineered an end-to-end E-Commerce BI Pipeline to process and analyze the Instacart relational dataset. Developed a structured ETL workflow—from data ingestion and cleaning to predictive modeling—…

    Python 1

  2. ScratchBoard ScratchBoard Public

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

    Python 1

  3. WifiMuscles WifiMuscles Public

    WiFI Muscles is an Android app designed with simplicity in mind to analyze a Wi-Fi connection.

    Java 1

  4. LotteryAPI LotteryAPI Public

    Spring Boot API that ingests lottery CSV data, stores it in H2, and exposes REST endpoints for analytics and querying.

    Java 1