Machine Learning Engineering Student @ University of Arizona
Building AI-powered automation systems that actually work in production.

• AI Resume Screening System — Claude API + Python pipeline that extracts 30-50 technical skills per resume at 95%+ accuracy across PDF & DOCX, with automated GitHub profile scoring and a full Streamlit web app deployed to the cloud
• TrustFolio — Full-stack student portfolio app (Next.js, TypeScript, React, Tailwind CSS) integrated with the LinkedClaims SDK for verifiable credentials → Live Demo
• Local RAG System — Semantic search using LangChain, HuggingFace embeddings, and Chroma vector database with local LLM support via Ollama

AI/ML: Claude API · LangChain · HuggingFace · Ollama · Prompt Engineering · Few-Shot Learning · Vector Databases
Languages: Python · TypeScript · JavaScript · SQL · VBA
Frameworks: Next.js · React · Flask · Tailwind CSS · Streamlit
Cloud: AWS (EC2, S3, Lambda, IAM) · Microsoft Azure
Tools: Git · GitHub · Docker (learning) · RESTful APIs · Webhooks

• 📍 Tucson, Arizona
• 🎓 B.A.S. Applied Computing: Applied AI | Undergraduate Certificates in Cloud Computing & Cybersecurity | Minor in Intelligence & Information Operations | University of Arizona (Expected Spring 2027)
• 💼 ML Engineering Intern @ LinkedTrust — building production AI systems
• 🏫 Former AI/ML Tutor — taught 50+ students LLMs and machine learning fundamentals
• 🌐 English (Native) · Japanese · Korean · Arabic (all Elementary)

• 📧 danawmartinez@gmail.com
• 💼 Open to AI/ML engineering and automation internship opportunities

"Reducing manual work with intelligent systems — one automation at a time."