Intelligent Systems Engineer

Hugo Iglesias Pombo

Building intelligent systems at the intersection of AI, engineering, and product thinking.

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About

Ever since I was a kid, I've been fascinated by understanding how things work — and breaking them to understand them better. That curiosity led me to intelligent systems engineering, where I now combine artificial intelligence, software architecture, and a product-driven mindset to build solutions that solve real problems. I don't settle for something that just works: I aim for elegant, scalable, and impactful.

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Artificial Intelligence

Designing and training neural networks for real-world applications — from leak detection with LSTMs to physics-informed models for thermal dynamics.

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Systems Engineering

Building robust, scalable architectures with clean separation of concerns. From microservices to digital twins, every system is designed to evolve.

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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.

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Hospital Digital Twin

Full-stack digital twin for hospital management with simulation, gamification, and real-time monitoring dashboards.

ReactTypeScriptPostgreSQLDockerPython
GitHub ↗Live Demo ↗

Blog

Thoughts on engineering and technology.

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Hello World

Welcome to my blog! A brief introduction about who I am and what you'll find here.

CV

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Experience

02/2026 — Present

Data Engineer — INDITEX

via Plexus Tech

Collaborating on the data team supporting marketing campaigns and analytics.

06/2025 — 02/2026

Software Engineer — Plexus Tech

Consulting for various clients

Banking project: Developed predictive ML models for fraud detection using Docker, Kafka, and Flink. Hotel Digital Twin (Government of the Balearic Islands): Built PINN model for thermal insulation evaluation, LSTM for hydraulic leak detection, and secure endpoints with Paseto and Keycloak.

2025 — 2026

Author — "Programming and Data Mining"

Master's in Cybercrime, Universidad Europea

Author of the subject "Programming and Data Mining". It consists of the following modules: · Programming Languages (Python and C/C++) · Data Mining Tools and Methods · Historical Introduction to Intelligent Systems · Machine Learning: Supervised and Unsupervised Learning · Neural Networks and Generative AI · Digital Project Development Methodology

Education

2022 — 2026

Degree in Intelligent Systems Engineering

Universidad Intercontinental de la Empresa (UIE)

Courses

Supervised Machine Learning — Stanford University (Coursera) — 33h

Docker, Kubernetes & Containerization — Duke University (Coursera) — 44h

Spark, Hadoop & Snowflake for Data Engineering — Duke University (Coursera) — 30h

Data Visualization with Python — Duke University (Coursera) — 10h

Deep Learning with Keras — IBM (Coursera) — 10h

Agile Development & Scrum — IBM (Coursera) — 18h

Product Owner — IBM (Coursera) — 10h

Certifications

2023

English certified by British Council (B2)

Skills

Data Engineering: Apache KafkaArtificial Intelligence & Machine LearningIntelligent Agents & Multi-Agent SystemsRoboticsNatural Language Processing (NLP)Internet of Things (IoT)Computer VisionDigital TwinsAgile Methodologies (SCRUM) & Repository Management (Git)Programming Languages: Python, R, C, C++ & Query Languages: SQL

Contact

Open to collaborations, opportunities, and interesting conversations.

Email

hugoiglesiaspombo@gmail.com

GitHub

higlesiasvd

LinkedIn

hugoiglesiaspombo

Instagram

hugotalks.ai

TikTok

hugotalks.ai