Projects
NeumonIA
View project →Progressive web app that classifies chest X-rays with AI directly in the browser using ONNX Runtime Web, without sending medical data to a remote server.
Anxiety Detection in Classrooms
View project →Computer vision system based on YOLO11-pose to identify anxious states through student movement patterns in classrooms at Universidad del Bío-Bío.
Valorant Character Detection
View project →Practical computer vision project based on YOLO11 for detecting characters of a specific role in the Valorant video game using a custom dataset.
Experience
Software Engineering Teaching Assistant
Mar 2025 — Jan 2026- Technical mentoring and code reviews for semester-long projects.
- Evaluation of deliverables ensuring compliance with functional requirements and Clean Code.
Full Stack Developer
Jan 2025 — Mar 2025- Designed an automated report comment system integrating Generative AI.
- Implemented prompts for the AI agent.
- Microservices architecture for LLM-to-client communication.
- Modern and intuitive interface.
Junior Data Scientist
Nov 2024 — Mar 2025- ML algorithms for combinatorial optimization problems (TSP).
- Data lifecycle management.
Full Stack Developer
Nov 2023 — Feb 2024- Augmented Reality mobile app for 3D urban visualization.
- REST API for streaming 3D assets from the cloud.
Skills
Frontend
Backend
AI
DevOps
Tools
Languages
About
Computer Engineer
I split my time between computer vision and software engineering — turning research ideas into working systems, with a focus on clean architecture and scalable design.
I believe good software is simple, because simple things scale better and break less.
Fundamentals of deep learning, neural networks, CNNs, and computer vision with TensorFlow/Keras.
Data preprocessing, regression, classification, clustering, and model evaluation.
Python fundamentals, OOP, data structures, and hands-on problem solving.