I’m Mateo.
I am a Software Developer with a diverse and dynamic skill set.
Over the last 12 years, I’ve gone from scavenging Radio Shack for small Arduino projects to gaining hands-on experience with AI harness engineering, cloud-native systems, and full-stack development.
These days, I'm at Microsoft helping build the agentic security data platform - developing AI tools and platform integrations that empower teams to ingest the data required for their security operations quicker and more reliably than ever before.
My skills
Programming languages
Typescript
C#
Python
Rust
C++
Java
C
PHP
Haskell
Frameworks
ASP.NET
React
Next.js
TailwindCSS
Vue.js
Svelte
Laravel
My experiences
Full-stack engineer working on the Agentic Security Data Platform for Microsoft Defender and Sentinel.
Building AI-powered developer tools for Microsoft Sentinel that have accelerated data ingestion pipeline development - contributing to an 82% increase in ingestion and approximately $1.85M in additional FY26 revenue.
Kickstarted four initiatives via hackathons and helped deliver all of them end-to-end, including leading development for the front-end and harness of the portal's data onboarding agent.
Additionally, I worked previously as a Front-End developer in Case Management for Microsoft Defender Portal, delivering GA features across 6 key product areas, spearheaded development for the linked objects feature, and recieved a promotion within the first 6 months.
12 week internship working on Microsoft Defender Portal.
In that time, I pioneered the first Copilot features in Microsoft Sentinel by building and optimizing Retrieval Augmented Generation (RAG) pipelines. Doing so required me leading cross-functional collaboration with two international teams and Microsoft R&D to establish key development guidelines.
Additionally, while talking to the research team, I realized there was an opportunity to improve the current Copilot skill development process. As a result, I took the initiative to create an automated skill eval system that leveraged advances in automated fact-checking and natural language processing, reducing skill evaluation time by 97% and increasing monitoring accuracy by 42%.
Developed tools supporting some of Texas’ largest student-run hackathons, including four event websites (HowdyHack 2022 - TAMUhack 2024) and an AI-censored Spotify Queue.
To do so, I utilized technologies like Vue.js, SvelteKit, Next.js, and PostgreSQL to drive these projects. During the events, I actively mentored participants and managed technical challenges during hackathons, supporting the success of each event.
Assisted Dr. Martin Carlisle, Dr. Shawn Lupoli, and Dr. Jeff Huang with their CSCE 222 (Discrete Structures of Computing) course sections made up of 210+ total students.
As part of my responsibilities, I held biweekly office hours, graded assignments, and held study sessions.
12 week internship with the Microsoft Sentinel team.
Led the development and testing efforts for the React migration of the Continuous Integration feature in Microsoft Sentinel.
My project also included a backend portion, where I refactored API controllers and implemented an automated Service Principal rotation service in preparation for general availability (GA).
Additionally, I realized the onboarding process was timely and tedious, so I created a script to maintain repository dependencies as code, reducing developer onboarding time by 80%. As a result, the script has now been adopted accross other teams and repositories as well.
Completed a 12-week internship focused on building a serverless automation tool for Microsoft Sentinel.
Led the backend development using Azure Durable Functions, Cosmos DB, and the Twilio API.
Furthermore, as part of the PM portion of my internship, I conducted product research and competitive analysis to create customer personas, mock-ups, and product specifications.
Provided private coding instruction for Python and led three one-week long camps for Python and Scratch.
My education
Honors: Cum Laude
GPA: 3.7 / 4.0
Awards: National Hispanic Merit Scholar, Raymond Ideas Challenge Finalist
Relevant Coursework: Recommendation Systems and Natural Language processing, Machine Learning, Cloud Computing, Programming Languages