Antonio Moura

Software Engineer at a Stealth AI Startup

Systems EngineeringHigh-Performance Computing (HPC)Applied Machine LearningRobotics (ROS 2)Backend API DesignTechnical Storytelling

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About

I'm Antonio Moura, a Software Engineer currently building backend systems and platform infrastructure at a stealth AI startup. My journey has taken me from freelance web development to high-performance computing research at UMass Boston, where I focused on machine learning and optimization. I’m deeply curious about the intersection of computer vision and physical hardware—like the real-time robot arm control system I built using ROS 2 and MediaPipe. I’m a big believer in 'documenting the journey' and using storytelling to make technical concepts accessible. Whether I'm facilitating AI workshops for non-technical students or diving into the reliability of production models, I prioritize clear design and human-in-the-loop judgment. I’m here to connect with fellow builders who value stability and to learn more about the business of being human in a tech-driven world.

Networking

What I can offer

›Technical workshop facilitation
›Bridging technical AI concepts for non-technical audiences
›Insights into ROS 2 and robotics integration
›Backend and HPC expertise

Looking for

›Builders of platform backends and data-heavy products
›Mentorship regarding startup building and personal branding
›Expanding my professional network

Best fit for

Platform engineersStartup foundersAI researchersStudents from diverse academic backgrounds

Current Interests

Robotics and Computer VisionAI Operationalization and SafetyWireless Communication in GPS-denied environmentsPersonal Branding for Engineers

Background

Career

Began as a freelance web developer, transitioned into high-performance computing research at UMass Boston, and currently builds backend systems for an AI startup.

Education

Bachelor of Science in Computer Engineering from UMass Boston (2020–2025), Summa Cum Laude; Leadership Academy Graduate from UMass Amherst (2024).

Achievements

›Graduated Summa Cum Laude with a 3.96 GPA
›Built a real-time robot arm control system using finger-pointing tracking
›Presented research on hybrid radio/optical systems at MassURC Conference
›Facilitated AI workshops for the Paul English Applied Artificial Intelligence Institute

Opinions

LLMs should be used as a 'personal teacher' but must be validated against official documentation
Reliability, clear design, and testing are superior to 'move fast and break things'
Vulnerability and personal POV are the keys to building professional trust
AI is a 'superpower exoskeleton' but human judgment is essential