Engineering Student
Hugo
Building intelligent systems at the intersection of AI, engineering, and product thinking.
About
I am an engineering student driven by the belief that the best systems are built at the intersection of deep technical knowledge and clear product vision. I focus on creating tools and models that are not just functional, but architecturally sound and ready for production.
Artificial Intelligence
Designing and training neural networks for real-world applications — from leak detection with LSTMs to physics-informed models for thermal dynamics.
Systems Engineering
Building robust, scalable architectures with clean separation of concerns. From microservices to digital twins, every system is designed to evolve.
Product Thinking
Engineering is not just about code. It is about solving real problems with clarity, precision, and a relentless focus on impact.
Projects
Selected work showcasing engineering and AI.
Personal Portfolio
Production-ready portfolio built with Next.js, TypeScript, and TailwindCSS. Modular architecture designed to scale into a full technical lab.
Leak Detection System
LSTM-based autoencoder for real-time leak detection in pipeline systems. Achieves 97% accuracy with minimal false positives.
Thermal Dynamics PINN
Physics-Informed Neural Network for modeling building thermal behavior. Combines data-driven learning with thermodynamic equations.
Hospital Digital Twin
Full-stack digital twin for hospital management with simulation, gamification, and real-time monitoring dashboards.
Blog
Thoughts on engineering and technology.
Education
2022 — Present
Engineering Degree
University
Focus on systems engineering, optimization, and artificial intelligence.
Experience
2024 — Present
Software Engineering Projects
Independent
Full-stack development, AI model training, and system architecture for production applications.
Skills
Contact
Open to collaborations, opportunities, and interesting conversations.