DIEGO
MONTOYA
Computer Engineering student and software engineer building full-stack applications, intelligent systems, computer vision, embedded systems, and research-driven technology.
Texas A&M International University
Selected Work
A collection of projects spanning full-stack development, computer vision, embedded systems, and research.
NoteHunt
Offline-first notebook designed around per-user isolation, secure auth, and seamless sync.
Installable PWA with offline-synced per-user notes, 150–200 users, Jest tests, secure auth with rate limiting and IDOR-safe ownership, MCP server for AI agents, CI/CD via GitHub Actions auto-deploying to Vercel.
App-QZ
Auto-grading platform with six question types, flashcards, and review mode.
100–150 concurrent sessions, 1.6K+ invocations, zero downtime, six auto-graded question types, flashcards, review mode, partial-credit grading.
Smart Water Monitor
IoT sensor network measuring physicochemical water parameters with ML anomaly detection.
7 physicochemical parameters, LoRa sensor nodes, Python edge server, monitoring dashboard, anomaly detection, selected for SHPE National Convention 2026 Research Competition.
HandMouse
Webcam hand-tracking application that replaces mouse input with gesture control.
Hand tracking for cursor movement, clicking, dragging, and scrolling using OOP architecture with MediaPipe and OpenCV.
Seachit
Unified media search aggregating movies, books, and music from multiple APIs.
Unified media search across multiple APIs, Astro frontend on Vercel, 15–20 active users, 700+ edge requests on minimal compute.
Experience
Professional and research experience in software engineering.
WiSeMAN Research Lab
Texas A&M International University
Software Engineer — Honors Project
- Constructed a security system on Quanser hardware (QDrone/QBot/QCar) using Python and computer vision to detect intruders 24/7.
- Developed drone computer vision and inter-robot comms in Python so the aerial unit can dispatch a ground robot for inspection automatically.
Aidvise AI
Honors Program Collaboration
Full Stack Software Engineer
- Co-built an AI academic advisor with Next.js, React, and Puter AI that personalizes guidance by college, major, and timeline.
- Owned the full-stack data flow from the AI prompt to each user's response through Appwrite, serving 50–80 active users.
About
Engineering software that connects the physical and digital.
ENGINEERING
SOFTWARE THAT
CONNECTS THE
PHYSICAL +
DIGITAL.
I am a Computer Engineering student at Texas A&M International University, expected to graduate in May 2028 with a 4.00 GPA. I build full-stack applications, intelligent systems, computer vision, embedded systems, and research-driven technology.
My work spans from PWA development and AI integration to autonomous robotics and IoT sensor networks. I am deeply interested in the intersection of hardware and software, where elegant engineering meets real-world impact.
I am a member of the University Honors Program and a Dean's List recipient. I serve as Sergeant at Arms for SHPE, volunteer as a FIRST Robotics referee, and instruct 3D printing STEM workshops.
Technical Index
A structured overview of tools, languages, and concepts I work with.
Languages
- Python
- TypeScript
- JavaScript
- C++
- Java
- C
- SQL
- Bash
- R
- HTML/CSS
Frameworks
- Next.js
- React
- Node.js
- Astro
- Tailwind CSS
- OpenCV
- MediaPipe
Data / Infrastructure
- MongoDB
- Appwrite
- REST APIs
- Vercel
- Git
- GitHub
- Linux
Engineering
- OOP
- CI/CD
- Unit Testing
- System Architecture
- Agile
Spoken
- Spanish — Native
- English — Fluent
- French — Intermediate
Education + Leadership
Texas A&M International University
B.S. Computer Engineering —
Leadership & Activities
Impact Numbers
Key metrics from my work and projects.
GPA
NOTEHUNT USERS
CONCURRENT SESSIONS