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hi, i'm mateo. i build things.
I'm a developer currently interested in AI agents, backend microservices, and cloud computing. I'm also a former SWE intern at Berkeley Lab and California State University, East Bay.
about
As a highly driven fourth-year studying Computer Science at Cal State East Bay, I am deeply passionate about the rapidly evolving world of Artificial Intelligence and Machine Learning.
My completed coursework includes: Data Structures and Algorithms, Software Engineering Operating Systems, AI, and NLP. I aspire to break into the AI sphere as a full-fledged ngineer and use my skills to develop innovative solutions to real world problems.
Software Engineer Intern
Lawrence Berkeley National Laboratory
Software Research Engineer Intern
California State University, East Bay
B.S. Computer Science
California State University, East Bay
A.S. Computer Science
Chabot College
skills
languages
Python · TypeScript · Java
SQL · Go · C/C++
ml & ai
LangGraph · LangChain · AI Agents
RAG · PyTorch · NLP
backend
FastAPI · REST APIs · GraphQL
Node.js · Express · Flask
database
PostgreSQL · MongoDB · NoSQL
Supabase · Neo4j· D1
frontend
React · React Native · Next.js
HTML/CSS · Tailwind · Vite
tools
Docker · AWS · GCP
Git · Linux · Slurm
projects
A multi-model coding agent integrating Perplexity web search. Engineered to use as few tokens as possible, making project generation and completion extremely cost-effective. Average project per prompt costs less than 10 cents per generated project. Winner of HackHayward 2026.
An ultra-lightweight harness TUI for coding agents using all available OpenAI models and more at only 8MB in total size. Uses an MCP server hosted via Vercel with 70+ robust tools designed to maximize agent capabilities while staying responsive. Made at the JetBrains x Codex Hackathon.
A GraphRAG research QA platform for interacting with Neo4j knowledge graphs, optimizing long-context LLM performance and reducing hallucinations. Tested and benchmarked to use up to 75.5% fewer tokens compared to other GraphRAG frameworks. Uses PolyG.
A visual speech recognition and lip-reading engine for identifying speech patterns for audibly impaired individuals. Integrates MediaPipe and OpenCV for webcam capture, video analytics, and facial overlays. Uses PyTorch and deep learning reinforcement.
A robust Java app that curates user-generated content and study sets to support personalized learning pathways with interactive review and assessments.
MYLogin is a lightweight security utility TUI written in Python and Go that allows for convenient storage and retrieval of login information with multi-layered encryption.
An automation tool for Git workflows and GitHub written in C and Bash.
A portable and compact math library written in C/C++ for working with matrices and numerical algorithms.
contact
email
aladomateo@gmail.com
links