Hello, I'm
Teo Lorente
Head of AI & Data Engineering: Building intelligent systems that matter
AI & ML Engineer
Deep learning & production ML systems
AI & LLM Agents
Agentic RAG & multi-step reasoning
Data Engineering
Scalable pipelines & real-time analytics
Know Who I Am
I'm a Head of AI & Data Engineering at Devera, where I lead the design and deployment of intelligent systems that drive real-world impact. With a strong foundation in computer science and a Master's in AI & Data Engineering (9.5/10 GPA), I specialize in building production-grade LLM agents, RAG architectures, and scalable data pipelines for domains like sustainability and healthcare.
Previously at Remote Care Partners, I developed AI-powered patient monitoring systems, achieving a 92% F1-score on hospitalization risk prediction and deploying quantized CNNs for real-time face authentication on edge devices. I thrive at the intersection of research and engineering, turning cutting-edge AI into robust, deployable solutions.
Founder & CEO
Live & maintained
Dream Car Garage
A production web app I conceived, designed, built, deployed, and run on my own: a home for the car community to curate their dream collection, watch it evolve, and compete with enthusiasts worldwide, now powered by an in-house AI Build Generator.
As sole founder I own every layer: product and UX, full-stack engineering, AI infrastructure, deployment and uptime, EU data sovereignty and GDPR compliance, growth, monetization, and a five-phase roadmap through 2028. Not a prototype, but a live service with an AI engine running entirely on EU servers.
Where I've Worked
Head of AI & Data Engineering
Devera
- Led redesign of core AI infrastructure, establishing scalable foundations for intelligent automation across the platform
- Architected scalable data pipelines for carbon footprint estimation, enabling real-time sustainability analytics
- Designed and deployed RAG systems for document understanding and knowledge retrieval at enterprise scale
- Full lifecycle ownership from research and prototyping through production deployment and monitoring
AI & ML Engineer
Remote Care Partners
- AI-driven patient monitoring: built end-to-end systems for predictive healthcare analytics serving thousands of patients
- Quantized CNN for face authentication: deployed lightweight deep learning models on edge devices for secure patient verification
- Real-time biosignals integration: engineered pipelines processing continuous vital sign streams for anomaly detection
- Achieved 92% F1-score on hospitalization risk prediction model, directly impacting clinical decision-making
AI & ML Intern
Remote Care Partners
- End-to-end ML pipelines: designed and implemented complete machine learning workflows from data ingestion to model serving
- Weather-aware health recommendations: built predictive models correlating environmental data with patient health outcomes
- Achieved 45% latency reduction through model optimization and efficient inference pipeline architecture
What I Work With
Projects
I build everything that comes to mind
Dream Car Garage
Car community platform with in-house AI Build Generator. 600+ vehicles, 8-language search, EU-sovereign infrastructure. Solo-built from zero to production.
LIVEGAIA Benchmark Agent
Top Performer by Hugging Face. Agentic RAG with multi-tool architecture: document retrieval, web search, code execution, and multi-step reasoning. 90% score.
LIVECadence
GNOME extension that turns the dock into a media player: album art, playback controls, and a widget that tints itself to match the cover. Windows & macOS on the roadmap.
LIVEPatient Risk Prediction
AI-driven patient monitoring analyzing real-time biosignals for hospitalization risk. 92% F1-score, 30% false positive reduction.
Edge AI Face Auth
Quantized CNN for secure facial authentication on low-power NPU healthcare devices. Real-time inference on constrained hardware.
Healthcare Pipeline
End-to-end ML pipeline for healthcare data. 45% latency reduction through optimized ingestion and secure cloud storage.
Carbon Footprint Analytics
Scalable data pipelines and AI for automated carbon footprint estimation. Real-time sustainability insights at enterprise scale.
Enterprise RAG System
Production RAG for knowledge retrieval and decision support. Document ingestion, vector search, and LLM orchestration at scale.
Taller de Estudio
Four notebooks I built for my sister's Agricultural Engineering degree
Fertirriego
Water and fertiliser in one line. Crop evapotranspiration, Kc, gross and net dose, system efficiency, stock solution and injection.
Medio ambiente
Ciencia y tecnología del medio ambiente
Water, air and noise pollution. Pollutant load, Streeter-Phelps self-purification, treatment plant efficiency, decibel addition and the carbon footprint of a farm.
Estructuras
Resistencia de materiales y análisis estructural de construcciones agrícolas
Beams, stress, deflection and buckling. Reactions and bending moment, section modulus, Euler critical load and the footing of a farm shed.
Maquinaria
Motores y maquinaria agrícola
Torque, power and fuel. Engine curves, torque reserve, implement draft, work rate, cost per hectare and the weight transfer that decides whether a tractor pulls or spins.
Atlas 3D de motores
Modelo interactivo del motor agrícola
The engine in three dimensions: rotate it, isolate the block, the crankshaft or the cylinder head and follow the four-stroke cycle piece by piece. It is the visual companion of the machinery notebook, for when the formulas are not enough and you need to see where each part sits.
Achievements & Recognition
AI Agents Course
Hugging Face, 2025
90% on GAIA Benchmark
Data Engineering Bootcamp
Dataexpert.io, 2024
Top 0.019% of 31,000 participants. Perfect Score.
Azure AI Fundamentals (AI-900)
Microsoft Learn, 2024
Perfect Score
Fighting Robotics Finalist
University of Granada, 2022
Autonomous sumo robot competition
N-Queens Challenge Winner
University of Granada, 2020
Fastest optimized backtracking solution
Academic Background
MSc AI & Data Engineering
In ProgressETSIIT, University of Granada
GPA: 9.5/10
Specialization in large language models, agentic systems, and scalable data architectures.
BSc Computer Science & Computer Engineering
ETSIIT, University of Granada
Ranked 52nd Worldwide in AI (U.S. News 2025)
Thesis: "Low-cost AR system with CV, NLP, and multimodal interaction", 9.2/10
Get In Touch
I'm always interested in hearing about new opportunities, collaborations, or just having a conversation about AI and technology. Feel free to reach out through any of the channels below.