I build systems where software meets the physical world β from ROS2-controlled robots and fine-tuned computer vision pipelines to deployed AI agents and agentic workflows. Aerospace & Mechanical Engineer by training. 8 years inside Amazon's EU logistics operations. Now focused on the intersection of robotics, computer vision, and applied AI.
Aerospace and Mechanical Engineer (UC3M Β· TU Delft) with 8+ years scaling multi-million-dollar efficiencies at Amazon and McKinsey. I specialize in systems that connect software to the physical world: ROS2 robots, real-time computer vision, and deployed AI applications. My edge is rare β I understand the physics of the problem, the operational cost of getting it wrong at scale, and how to write the code that fixes it. Fluent in Spanish (native), English, and French (B2).
Feb 2026 β Present
Sept 2023 β Feb 2026
Aug 2022 β Jul 2023
Sept 2017 β Aug 2022
2017
2015 β 2017
2011 β 2016
End-to-end RAG system built with LangChain, ChromaDB, and Gemini 2.5 Flash. Ask about my background, experience, and projects β the agent answers grounded in my actual documents.
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Autonomous Accounts Payable (AP) back-office agent built with Gemini 2.5 Flash, Next.js, and Neon Postgres. Reads messy vendor invoices, cross-references Purchase Orders and WMS receipts, then approves, flags, or escalates β with full live reasoning trace.
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Full-stack omnichannel CS simulation integrating AI voice calls (Retell.ai), live web chat (Voiceflow), and automated email (Resend) β with real-time order lookups and unified conversation handling across all three channels.
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Autonomous diagnostic agent powered by Computer Vision for real-time medical image analysis.
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Location-based discovery app using Geolocation APIs and AI-powered explanations to explore nearby historical monuments.
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Mobile-first inventory system leveraging on-device Camera Vision for barcode scanning and real-time cloud synchronization.
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AI voice assistant using Web Speech API and LLM orchestration to book and manage your Google Calendar appointments via natural language voice conversation.
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Public repository of my ongoing experiments in AI prototyping, web/mobile applications, and AI-assisted software development.
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AI-developed interactive portfolio showcasing my professional accomplishments, education, and AI side hustles.
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Productionized YOLOv8 as a cloud REST API: async task queue for multi-user concurrency, daemon-thread memory management against container OOM crashes, Docker containerization, and live on Hugging Face Spaces.
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Custom object detection pipeline: annotated dataset in Roboflow, augmentation for motion blur & lighting variance, YOLOv8n fine-tuning over 100 epochs (~97% mAP@50), and real-time multi-object tracking on a conveyor belt.
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Advanced spatial logic built on top of a real-time object tracking engine. Implements virtual polygon pick-zones (point-in-polygon logic) and vertical throughput tripwires to count and register custom items on a moving conveyor belt.
View full project βThis project consists of a browser dashboard displaying a live video feed in which virtual gates can be defined to track, classify, and count vehicles and pedestrians in real-time, featuring live telemetry graphs and CSV export.
Real-time video analysis powered by Gemini 2.5 Flash. Detects and tracks objects via natural language queries with live bounding boxes.
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Physical 4-axis robotic arm integrated with a cloud-based Vision-Language-Action (VLA) reasoning engine. Translates natural language voice commands via Gemini 1.5 Pro into precise local mechanical movements.
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Autonomous navigation logic using Python and multithreading, parsing LIDAR data to track and successfully follow walls in a simulated environment.
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Physical deployment of my simulation built on Arduino hardware. Implements PID control, IMU filtering, and motor actuation in the real world.
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ROS2 simulation of a self-balancing robot built in Gazebo. Focuses on sensor modeling, odometry, and control loop tuning.
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