Hello, I'm
Teo Lorente
Head of AI & Data Engineering — Building intelligent systems that matter
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.
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
What I've Built
GAIA Benchmark Agent — Top Performer
Certified Top Performer by Hugging Face with 90% on the GAIA benchmark. Agentic RAG system with multi-tool architecture featuring document retrieval, web search, code execution, and multi-step reasoning with robust guardrails.
AR System with AI Assistant
Bachelor's Thesis — 9.2/10. Real-time AR system integrating CNN-based facial authentication, NLP-powered assistant, and gesture control. Cost-effective VR-to-AR conversion via server-client streaming with multi-threaded GPU/CPU optimization.
Maze Navigation AI
Intelligent agent system navigating dynamic mazes with wolf AI hunters. Features 4 terrain types, A* pathfinding with real-time decision-making, collision avoidance, and strategic evasion mechanics.
3D Scene Renderer
Interactive 3D scene in C++ with OpenGL featuring handcrafted .ply models, objects of revolution, five simultaneous animations, multi-camera switching, and dynamic lighting with texture mapping.
Autonomous Sumo Robot — Finalist
University competition finalist. Autonomous robot with 3 ultrasonic sensors for opponent tracking, IR edge detection, dual Arduino boards, H-bridge motor control, and a custom black-tape boundary deception strategy.
Monopoly — MVC Architecture
Full Monopoly implementation in Java following the Model-View-Controller design pattern. Features a 2D graphical interface, OOP-driven game logic, player actions, and turn management with modular architecture.
N-Queens — 1st Place Winner
1st Place, University of Granada Programming Methodologies competition. Efficient C++ solution using backtracking and branch-and-bound algorithms for exhaustive enumeration of all valid queen placements on an NxN board.
Moore Machine Simulator
Automata and Formal Languages project implementing a Moore Machine with finite automata, stack machines, and Turing machine concepts. Explores language hierarchy relationships and computation models for language recognition.
Patient Risk Prediction — 92% F1
AI-driven patient monitoring system analyzing real-time biosignals (ECG, SpO2, HRV) for hospitalization risk prediction. Achieved 92% F1-score with 30% false positive reduction, directly impacting clinical triage workflows.
Edge AI Face Authentication
Quantized CNN for secure facial authentication optimized for low-power NPU inference on healthcare edge devices. Lightweight deep learning model enabling real-time patient identity verification on constrained hardware.
Real-Time Healthcare Pipeline
End-to-end ML pipeline for healthcare data: ingestion, feature engineering, training, and deployment. Reduced data processing latency by 45% through optimized ingestion and secure cloud storage for real-time analytics.
Carbon Footprint Analytics Platform
Scalable data pipelines and AI services for automated product carbon footprint estimation. Architected the ingestion, orchestration, and analytics layers enabling real-time sustainability insights at enterprise scale.
Enterprise RAG System
Production RAG system for internal knowledge retrieval and decision support. Designed document ingestion, vector search, and LLM orchestration layers deployed at enterprise scale with monitoring and optimization.
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.