Open to SWE & PlatformCollege Park, MD

Muse Degu

Software Engineer

Bachelor of Science (BS) in Computer Science (University Of Maryland College Park). Full‑stack engineer building fast, reliable systems across web, infra, and AI.

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JavaScriptTypeScriptJavaPythonCC++HTMLCSSBootstrapAngularSvelteKitNext.jsD3.js

Projects

Invoice Management System

Invoice Management System

Repo ↗
  • Developed a role-based invoice management system for companies with separate interfaces for managers and employees.
  • Built reusable Angular modules for invoice creation, approval workflows, and history tracking.
  • Integrated Spring Security to manage access for roles like Manager, Accountant, and Employee.
AngularJS • Spring Boot • Spring Security • Docker • AWS
NFL Match Predictor

NFL Match Predictor

Repo ↗
  • Developed an interactive Streamlit web app that predicts NFL game outcomes with mock team statistics.
  • Engineered features comparing win rates, offense/defense ratings, and point differentials for predictions.
  • Trained a Random Forest classifier with home-field advantage and confidence metrics for accuracy tracking.
  • Visualized predictions, spreads, and team stats using Plotly charts in a real-time interactive dashboard.
Streamlit • scikit-learn • Pandas • Plotly • NumPy
AI Debugging Assistant

AI Debugging Assistant

Repo ↗
  • Built a full-stack AI debugging app that analyzes multi-language code (JS, Python, Java, C++, etc.) with GPT-4.
  • Implemented real-time bug detection, code quality scoring, and before/after fix suggestions.
  • Added file upload, history tracking, and responsive UI using Tailwind + shadcn/ui.
  • Deployed with PostgreSQL + Drizzle ORM backend, delivering ~30% faster debugging cycles.
React • Express.js • TypeScript • PostgreSQL • OpenAI API

Experience

Internships and leadership roles.

RAPIDEYE.AI

Software Engineering Intern— Mar 2025 – Aug 2025

  • Built 4+ Python cloud apps on AWS (Lambda, S3, EC2).
  • Authored 12+ REST APIs (OpenAPI) → ~25% faster integrations.
  • Optimized realtime backends → ~20% lower latency for AI models.
  • 8‑person agile team; resolved 15+ sprint issues for reliability.
  • Modular Python/JS/TS across 5+ deployments with clean OOP.
UNIVERSITY OF MARYLAND COLLEGE PARK

Equipment & Work Order Manager (Level 2)— Jun 2021 – Present

  • Equipment & Work Order Manager (Level 1) (2021 - 2023)
  • Trained 30+ employees on TMA; onboarding time −25%.
  • Streamlined data retrieval; weekly reporting time −20% for 50+ staff.

Skills

Daily drivers, frameworks, and platforms.

Languages

JavaScriptTypeScriptJavaPythonCC++

Frontend

HTMLCSSBootstrapAngularSvelteKitNext.jsD3.js

Backend

Node.jsExpress.jsSpring BootDjangoFlaskGraphQL

Databases

MySQLPostgreSQLMongoDBSupabaseFirebase

DevOps

DockerKubernetesCI/CDAWSGitHubApache HTTP Server

Contact

Say hello — open to opportunities and collaborations.

Email: musdegu@gmail.com

GitHub: https://github.com/degumuse5

LinkedIn: https://www.linkedin.com/in/muse-degu-91963a197/

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