Achievement
January 2025
FlameSense Selected for MassChallenge UK 2025
FlameSense has been selected to be part of the prestigious MassChallenge UK 2025 Cohort, one of the world's leading startup accelerators.
Serial entrepreneur and tech innovator building the future. Currently developing LineApp for nightclub management automation and FlameSense for AI-powered wildfire prevention. Specialized in full-stack development, AI/ML, and turning innovative ideas into reality.
I'm a serial entrepreneur and full-stack developer with a passion for solving real-world problems through innovative technology. Currently pursuing Software Engineering with a minor in Data Science and AI at the Pontifical Catholic University of Chile, while simultaneously building multiple startups.
As CTO & Founder of LineApp, I'm revolutionizing nightclub management with automated customer data collection and Mercado Pago integrations. Simultaneously, as CEO & Founder of FlameSense, I'm developing AI-powered wildfire prevention systems that can detect fire risks in 30 seconds and aim to protect 10,000 hectares this season.
My journey includes groundbreaking research at University of Notre Dame in AI and Computer Vision, neuroscience research at UC Chile, and hands-on experience in ML/AI at companies like Xpendit. I'm also part of the prestigious MassChallenge UK 2025 Cohort and studying at Universität St. Gallen for startup and business growth.
From developing neural conditioning models to building automated trading bots, I love creating technology that makes a meaningful impact on society and the environment.
LineApp
Founded and developed the complete tech stack (Django REST backend, Next.js frontend) and Mercado Pago integrations for a startup automating customer data collection for party venues and events.
FlameSense
Founded a startup preventing wildfires using AI and Hardware (C++, ESP32, TensorFlow, Django REST, React, React Native). Part of MassChallenge UK 2025 Cohort. Successfully prevented first wildfire with AI detection in 30 seconds.
Xpendit
Developed ML extraction models for invoice/receipt data processing. Built personal assistants using Mistral and Open Source LLM models. Created and deployed labeling applications for model fine-tuning.
Xpendit
Fixed legacy Django REST code and developed WhatsApp API integration for automatic invoice data extraction. Built frontend solutions with Next.js for web applications.
ForestRanger.ai
Generated a startup to detect wildfires with AI and Hardware. Obtained funding and prizes to develop prototypes. Led ML model development and hardware integration while managing the team.
University of Notre Dame
Developed AI models with TensorFlow and OpenCV for Computer Vision applications. Conducted web scraping for model training data and was responsible for validating trail results.
Pontificia Universidad Católica de Chile
Developed TensorFlow pattern recognition models to detect heart diseases. Utilized Google Cloud Platform and conducted data collection through web scraping techniques.
Pontificia Universidad Católica de Chile
Co-authored research on "Neural conditioning of frontoparietal coherence to modulate conscious visual perception" and authored work on neurofeedback experiments. Designed software for neurofeedback trials using PASCAL and PsychoPy.
A showcase of my work spanning from startup ventures to open-source contributions
Revolutionary nightclub management software that automates customer data collection and analysis. Features online ticket sales, identity verification, and customer profiling through advanced data capture and analysis.
AI-powered wildfire prevention system using interconnected IoT devices. Detects fire risks in 30 seconds with 95% accuracy, capable of tracking and identifying potential arsonists. Already prevented first wildfire in pilot programs.
Previous wildfire detection startup that laid the foundation for FlameSense. Successfully obtained funding and developed initial prototypes for AI-based forest fire detection.
Full web application to backup and preserve Instagram account posts and data. Automated content preservation system for social media archiving.
University data transparency platform displaying hidden or hard-to-find university information in a user-friendly format. Covers voting data, enrollment numbers, and academic performance metrics.
Automated course enrollment system for university students. Built to solve poor UX of university enrollment system using bots and queue management with RabbitMQ.
Multiple neuroscience and AI research projects including neural conditioning models, heart disease detection, and neurofeedback systems. Published research in collaboration with Dr. Ranganatha Sitaram.
Social impact project recovering and refurbishing computers for immigrants. Provided hardware repair, Linux installation, and computer literacy training to help integration.
Want to see more of my work?
View GitHub ProfileRecent milestones, product launches, and recognition in the startup ecosystem
January 2025
FlameSense has been selected to be part of the prestigious MassChallenge UK 2025 Cohort, one of the world's leading startup accelerators.
January 2025
Successfully launched LineApp with full backend (Django REST), frontend (Next.js) and Mercado Pago integrations for automated customer data collection in party venues.
December 2024
Our AI-powered wildfire detection system successfully prevented its first wildfire during pilot testing, detecting fire risks within 30 seconds with 95% accuracy.
November 2024
FlameSense was featured in StartUps Latam discussing how the Chilean startup seeks to prevent forest fires with AI, aiming to protect 10,000 hectares this season.
2020
Co-authored research on "Neural conditioning of frontoparietal coherence to modulate conscious visual perception" published with Dr. Ranganatha Sitaram.
Follow my journey as I continue building innovative solutions and pushing the boundaries of technology.