About
I build production platforms, trading infrastructure, and hardware systems. I dropped out of CS engineering at UdeC in 2024 to go full-time on my own projects — I've been shipping ever since. I've taken products from wireframe to production as a founding engineer, built autonomous systems for underwater rovers, developed cansat nanosatellites, and competed at HackMIT three times (winning once). Right now I'm building at a stealth startup and developing quantitative trading systems.
Work Experience
Things I've shipped
Production platforms, underwater control systems, nanosatellites, and more — a selection of projects I've built from the ground up.
Retail Pivot
Built the entire platform as founding engineer — took a wireframe to production, led the React-to-Next.js rewrite, designed the multi-channel inventory sync, and set up CI/CD with automated testing. Currently in Early Access with active merchants.
Deep Hub
AI-powered geospatial platform for analysis of aerial and satellite data — accelerating environmental and industrial decisions. Built from the ground up. Recognized by local media for its impact on forestry operations.
Vortex Underwater Rover OSD
Engineered a low-latency, bidirectional ROV control system to seamlessly integrate live telemetry, video feeds, recordings, and controller-based navigation into one single dashboard.
OctaSat
Developed a low-cost, modular cansat, capable of gathering environmental data at altitudes up to 50km via drones and balloons. Also built an educational variant to help high school students explore electronics and programming.
Hackathons
Three trips to HackMIT, one category win, and seven other competitions. Each one was 48 hours of building something that shouldn't work yet — and making it work anyway.
platanus hack [25]
Santiago, Chile
Deployed an AI agent integrated with a fullstack web app to assist with personal finance management. Connects with Chilean Open Banking APIs (Fintoc) to analyze transactions, visualize spending patterns, and provide intelligent insights through natural conversation.platanus hack [24]
Santiago, Chile
Developed the frontend for a machine learning platform that predicts and optimize medical diagnoses using graph theory, hypergraphs, and representation learning. This approach uncovered patterns in patient symptoms that enabled faster and more accurate diagnoses.HackMIT '24
Boston, Massachusetts
Developed an AI-driven tool to measure and visualize similarity scores across your LinkedIn network, helping users discover relevant leads, mentors, and synergy within their professional circles.HackMIT '21
Boston, Massachusetts (Hybrid)
Won the "Neurodiversity in the worksplace" category with Phaedra, an AI-based text summarization service that highlights key concepts, reduces reading complexity, and answers user queries. Designed to support neurodivergent individuals, rethinking accessible knowledge consumption.Get in Touch
Want to talk? Reach me at cxrlos@kenobi.dev or DM me on LinkedIn. I respond faster to email.
