About
At the end of 2023, I made the deliberate choice to leave academia and fully commit to building and scaling my own ideas. Since then, I’ve developed end-to-end platforms that emphasize security, scalability, and a refined UI/UX, serving real users in e-commerce, AI analytics, and beyond.
My sweet spot is turning complex challenges into frictionless digital experiences. Whether I’m laying down the tech foundations or perfecting the interface, my aim is always to deliver tangible value to users. I’m now looking forward to pushing boundaries further, collaborating with like-minded teams who share a passion for meaningful, impactful products.
Work Experience
Skills
Check out my latest work
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.
Retail Pivot
Developed a multichannel e-commerce management platform unifying product listings, orders, and inventory in one dashboard. It streamlines operations for online sellers with real-time sync, global dashboards, and a secure backend.
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.
I like building things
Hackathons quickly became my favorite playground for turning ambitious ideas into tangible prototypes. Each one pushed me to build faster, think bolder, and refine my ability to create meaningful solutions—skills I now bring to every project I touch.
- p
platanus hack
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. - H
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. - H
HackMIT '23
Boston, Massachusetts
Developed a VR/AR platform powered by computer vision and an AI assistant to transform anatomy learning into an immersive experience. Aimed at democratizing specialized medical knowledge - H
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. - N
NASA Space Apps Challenge '21
Santa Fe, Argentina (Hybrid)
Won the “Near-Space Near You!” category in Santa Fe with OctaSat: a nanosatellite-inspired platform that promotes hands-on learning and accessible space exploration, recognized for bridging STEM education and real-world aerospace tech. - L
Latin Code Week
Latin America (Remote)
Developed “EVA” into a simple MVP in Swift, expanding its impact beyond Chile to a broader Latin American audience. Won the national finals by promoting user flows for sustainable waste management. - B
Big Data National Olympics '20
Santiago, Chile (Remote)
Became a high school finalist by analyzing global COVID-19 datasets, uncovering patterns through advanced R and Python analytics. Demonstrated the power of data visualization in informing public health strategies. - S
Silabuz Scholar Hack '20
Santiago, Chile (Remote)
Secured 2nd place with “EVA” an Uber-like concept for recycling pickups. Presented a detailed mockup and business plan that motivates communities to recycle by scheduling waste collection and tracking it to local facilities. - N
NASA Space Apps COVID-19 Challenge
Global (Remote)
Developed a landing page aggregating real-time COVID-19 data from multiple sources across Latin America, providing a centralized hub to keep communities informed and engaged.
Get in Touch
Want to chat? Just shoot me a dm with a direct question on Linkedin or Instagram :) and I'll respond whenever I can.