Daniel B. Islas
Software Engineer | Full-Stack Developer | Machine Learning
Education
University of North Carolina at Chapel Hill
May 2026
Bachelor of Science in Computer Science, Minor in Business Administration
Computer Science: Artificial Intelligence, Intro to Machine Learning, Data Structures and Algorithms, Files and Databases, System Programming, Models of Languages and Computation
Business Administration: Corporate Finance, Business Strategy, Operations Management, Data-Driven Business Insights: Databases
Awards: Colonel John H. Robinson Scholarship, Edward M. Armfield Sr. Foundation Scholarship, Dean's List
Skills
Programming Languages: Python, Java, C++, C, JavaScript, TypeScript, SQL, HTML, CSS
Frontend: React, Next.js, Angular, Tailwind CSS
Backend: Node.js, FastAPI, REST APIs, PostgreSQL, Supabase
Machine Learning: PyTorch, TensorFlow, Keras, scikit-learn, Pandas, NumPy, Feature Engineering, Model Evaluation, Vector Embeddings
Tools: Git, GitHub, Docker, Linux, Jupyter, pytest, Playwright, Streamlit, Vercel
Spoken Languages: Spanish (Fluent), Portuguese (Advanced)
Experience
University of North Carolina at Chapel Hill | Undergraduate Teaching Assistant
Chapel Hill, NC
August 2025 – January 2026
- Supported 100+ students through in-class instruction and one-on-one office hours for COMP 421, covering buffer management, indexing, query execution, transactions, recovery, and concurrency.
- Co-developed and maintained four C++ database projects implementing HyperLogLog, buffer pool management, concurrent B+ trees, and SQL query execution.
- Created automated tests and grading rubrics to evaluate correctness and edge cases.
FB Carports & Canopies | Marketing Assistant
Elkin, NC
June 2019 – July 2023
- Managed SEO strategy and Google Ads campaigns, increasing monthly website traffic by 40% and sales conversions by 15%.
- Prepared customer quotes, coordinated delivery timelines, and supported client communications.
- Contributed to a 25% increase in customer retention and referrals.
Relevant Projects
FIFA World Cup Match Predictor | Python, scikit-learn, Pandas, Streamlit
June 2026 – Present
- Built an end-to-end machine learning pipeline using historical international matches to predict home win, draw, and away win probabilities and simulate tournament outcomes.
- Engineered Elo, recent-form, scoring, rest, tournament, and head-to-head features.
Jacket Checker | React, Supabase, PostgreSQL, Gemini API, Vitest, Playwright
January 2026 – June 2026
- Built and deployed a production full-stack application that analyzes live forecasts and user profiles through a deterministic ranking algorithm.
- Recommended up to three jackets from a user's private wardrobe.
AI-Powered Office Hours Ticketing System | FastAPI, Angular, OpenAI API, SQLAlchemy, Pydantic
January 2025 – May 2025
- Developed a full-stack AI-assisted feature that uses solutions from previously resolved tickets to generate contextual suggestions for students requesting technical support.
- Implemented RESTful FastAPI endpoints with SQLAlchemy and Pydantic.
Certifications
IBM Deep Learning with PyTorch, Keras and TensorFlow Professional Certificate | IBM / Coursera
View CredentialJuly 2026
Google AI Professional Certificate | Google / Coursera
View CredentialJuly 2026
Google AI Essentials | Google / Coursera
View CredentialJuly 2026