Noe Sanchez

Background

About Noe Sanchez

Software Engineer graduating December 2025 from University of Texas at Arlington, actively seeking full-time opportunities starting January 2026. I'm passionate about building scalable, enterprise-level applications that deliver real business impact. During my recent AI & Software Engineering internship at PMG, I developed solutions that identified $24K-$60K in annual cost savings and built mission-critical dashboards serving 100+ engineers and executives weekly. My experience spans the full development lifecycle – from predictive modeling using machine learning to deploying cloud-based applications on AWS and GCP. I thrive in collaborative environments where I can solve complex problems and write clean, maintainable code that makes a difference. Recent Highlights- Delivered enterprise observability solutions increasing system visibility by 30%- Won Hack UTA 2023 (Best Use of Google Cloud Engine) for OBD2 diagnostic tool - Built predictive weather modeling application with 80% accuracy using LSTM neural networks - Developed full-stack applications with quantifiable business results Technical Expertise: Languages: Python, JavaScript, C++, Java, TypeScript, Swift Frameworks: React.js, Node.js, React Native, NumPy, Pandas Cloud & DevOps: AWS, GCP, Firebase, Docker Databases: PostgreSQL, MongoDB, SQLite3 Ready to bring my proven track record of delivering impactful solutions to a forward-thinking engineering team. Let's connect!