Tomás Matus

Combining machine learning models with geological data to identify promising mining targets.

At Mineral Forecast, I'm developing the core SaaS platform that revolutionizes mineral exploration through artificial intelligence. The system analyzes vast geological datasets: geochemical samples, historical drilling data, and geological maps, to identify patterns invisible to traditional methods.

I work across the full stack: designing scalable architectures that handle terabytes of spatial data, building intuitive interfaces for geologists to interact with AI predictions, and continuously refining our models based on field validation.

It's fascinating work at the intersection of earth sciences and cutting-edge ML, where every feature we ship helps exploration teams make smarter decisions about where to drill next.

Through intelligent insights and shared financial goals.

Rivon started from a simple observation: most finance apps treat money as numbers in isolation, ignoring the human relationships and emotional contexts around spending.

I'm building Rivon as a collaborative platform where partners, families, or housemates can share financial visibility while maintaining privacy where needed. The app uses intelligent models to surface insights, not just 'you spent $X on coffee,' but 'your grocery spending is 20% higher when you shop on weekends' or 'you're on track to reach your vacation savings goal.'

The goal is clarity without judgment, automation without losing control, and financial wellness that feels natural rather than restrictive. Still in early development, but the vision is coming together.

Brings intelligence to heating, monitoring, and automation, all running locally.

Eva transforms standard electric heaters into smart devices that respond to presence, weather, and energy costs. The system is built in TypeScript, with a custom thermostat controller that exposes HomeKit accessories so everything works seamlessly with Siri and Home app.

But Eva is more than smart heating: it's a complete home infrastructure. I run Docker containers on Raspberry Pi hardware, hosting services for energy monitoring, automation rules, and a custom web interface. The system tracks real-time power consumption and enables manual and automated heating control.

Everything stays local, no cloud dependencies, no subscription fees, just a self-contained and reliable system. It's my ongoing experiment in practical IoT: building reliable, privacy-respecting automation that actually improves daily life.

Everyone stores things in boxes, closets, and storage units — and sooner or later loses track of what went where. Finding something means opening box after box. MIBOD was born to close that gap between the physical world and a digital inventory people actually use.

You register your storage places, create boxes inside them, and add items by taking a photo — AI names and describes each one automatically, so cataloging never feels like a chore. Every box gets a printed QR label: scan it with your phone and instantly see what's inside and where it belongs, without opening anything.

Beyond “where is it”, MIBOD also knows what left: mark items as lent or temporarily taken out (and to whom), share a storage space with your family with view or edit permissions, and find any object with a text search in seconds.

I'm designing and building the complete product end to end: native iOS and Android apps written in Swift and Kotlin, a web app, and the backend behind them, plus the AI-assisted cataloging, an admin panel, and the whole QR label system. The business model combines a free plan with a subscription (MIBOD Plus) and the sale of physical labels.

Building tools that coordinate inventory across hundreds of distribution centers.

At Falabella, I worked on mission-critical corporate systems for a multinational retail operation spanning Chile, Peru, and Colombia.

The flagship project was Emilia: a sophisticated corporate coordination platform that manages stock transfers between distribution centers, retail stores, and suppliers across all three countries. The challenge was scale: hundreds of locations, thousands of SKUs, complex business rules, and the need for real-time visibility at a multinational level.

I also contributed to the corporate budget system, a key tool for management and retail planners that enabled planning and tracking spending across the entire multinational organization. This system coordinated budget planning between teams in Chile, Peru, and Colombia, facilitating strategic decision-making at the corporate level.

These projects taught me a lot about building for multinational enterprises: the importance of audit trails, the complexity of multi-country permissions systems, integration with existing warehouse systems, and how to design interfaces that work for both store staff and strategic managers and planners.

Selected for UC's ITERA accelerator and backed by AWS with cloud infrastructure credits.

As CTO and founding developer of Lisy, I built a logistics coordination platform solving a real pain point in retail supply chains: the messy handoffs between suppliers, transport companies, and distribution centers. Drivers would show up at the wrong time, paperwork would be incomplete, and loading docks would be chaotic.

Lisy digitized the entire workflow: suppliers scheduled deliveries, drivers received mobile-optimized instructions, and warehouse staff confirmed arrivals and completed transfers all through one unified system. The platform handled notifications, capacity planning, and generated analytics to optimize dock utilization.

We were selected for ITERA UC, the startup accelerator at Universidad Católica, and received AWS credits that let us build on solid cloud infrastructure. Though the startup ultimately pivoted, the technical foundation was strong and the logistics insights invaluable.

Preventing spoilage through continuous temperature tracking and instant alerts.

For NotCo, the plant-based food company, I designed and deployed an IoT monitoring system to safeguard their cold chain. Industrial temperature sensors were installed throughout refrigerated storage areas, transmitting data via LoRaWAN (for range and low power consumption) to a central gateway.

The system published readings over MQTT, feeding a real-time dashboard where operators could monitor all zones at a glance. The critical feature was the alerting layer: if any zone exceeded safe temperature thresholds, immediate notifications went out via SMS and Telegram, allowing rapid response before product spoilage.

This project was my introduction to industrial IoT: learning about sensor calibration, radio propagation challenges in warehouse environments, and the importance of reliability when protecting critical inventory.

Designing a machine to extract salmon pulp efficiently. Recognized among Chile's Top 100 innovations by Jump Chile.

At UC's Innovation Center, I worked on Kairos: a mechanical solution for salmon processing facilities. The challenge was extracting pulp from salmon skeletons (the skeleton remaining after filleting) quickly and hygienically.

I led the design and prototyping process: sketching concepts, building CAD models, fabricating physical prototypes, and testing with industry partners. The machine used a combination of mechanical scraping and pressure to separate usable meat from bones, significantly reducing waste.

The project was selected among the Top 100 innovations in Jump Chile, a national competition for early-stage ventures. This was my deepest dive into hardware design: learning about food-grade materials, manufacturing tolerances, and the iterative process of physical prototyping.

Organizing events, connecting communities, and fostering collaboration nationwide.

As Internal Vice President of CONCIENCIA (the National Community of Science and Innovation), I coordinated programs and activities across university chapters throughout Chile. This wasn't a technical role: it was about community building, event organization, and creating spaces for students passionate about science and technology to connect.

I helped organize national conferences, science fairs, and networking events, working with university leaders and student groups to strengthen Chile's innovation ecosystem.

The role taught me skills that complement technical work: stakeholder management, public speaking, budget planning, and the art of building communities around shared values. It was a formative experience in leadership beyond code.

Built and led Chile's national champion robotics team, competing at VEX World Championships in the USA and VEX Open Asia in China.

CienciaBots was where I learned to lead, build, and compete at the highest level. I founded the team during high school, assembling a group of talented students and guiding them through the intense VEX Robotics Competition: designing, building, programming, and strategizing to win.

We became national champions in 2016 and 2017, earning spots at the VEX World Championships in Louisville, USA, and VEX Open Asia in Shanghai, China. Beyond the technical work (mechanical design, sensor programming, autonomous routines), I managed everything: securing sponsorships from local companies, organizing logistics for international travel, and mentoring students through the pressures of competition.

Watching my team compete on the world stage, holding their own against the best teams globally, was one of the proudest moments of my life. I continued as a mentor during my university years, helping shape new generations of competitors.

CienciaBots showed me the power of combining technical skills with leadership and vision.