Bio
I make robots learn in GPU simulation and then prove it on real hardware, with the largest models I can fit running on Jetson. I joined NVIDIA in October 2020, and since October 2024 I am Senior Staff Developer Advocate in a global role: I run live demos of NVIDIA's Physical AI stack (robotics simulation, Vision-Language-Action models, LLMs and VLMs, AI agents, Jetson platforms) for developers, students, researchers, and businesses. My real job is the last mile of new technology: stacks so new they don't work together yet. I get them running on real hardware so developers can build on them.
Before that, I spent four years (2020-2024) as Technical Marketing Engineer for Jetson embedded and robotics in EMEA. Every time a new wave of generative models dropped (GPT, Llama, Mixtral, Qwen, LLaVa, InternVL and other multimodal models), I got them running on Jetson as soon as the weights were out, and published the guides so anyone could do the same.
Today my work is Physical AI: I connect GPU physics simulation (Newton, Isaac Sim, Isaac Lab) with robot foundation models like GR00T, and prove the results on physical arms like the LeRobot SO-100/101. I collect training data by teleoperating robots in XR, and it all ends up as live demos at events like Computex and GTC, running on whatever each demo needs, from an 8 GB Jetson to the biggest GPUs NVIDIA makes.
Some of my projects outgrow me: I needed to flash my DGX Spark from a Mac, so I built the workflow myself. NVIDIA adopted it as the official one.
A big part of the job is teaching: workshops and hands-on labs that take a developer from zero to a working demo on their own hardware. I write and present for people who learn by building, because that is how I learn too.
Before NVIDIA I was at IBM (2019-2020). I got in by winning an IBM Quantum hackathon with an XR circuit viewer, and ended up leading the Global Quantum Community Lab, running hackathons in the Swiss Alps and in the mountains outside Tokyo to bring developers into quantum computing. I hold an IBM patent for 3D quantum circuit visualization (patent ↗), developed before similar work at Google Quantum AI.
I have also spent serious time in VR: I built a wheeled, home-made 6DOF experience, basically "Mario Kart" in VR (video ↗), and it got me into Meta's Oculus Launchpad program.
I present at conferences and universities around the world. At Google Tokyo I did the international debut of Gemma 2, with the demo running live on Jetson devices and a surprise appearance by Google's CEO (video ↗), and I presented the Gemma 3 launch at Google's Paris office (2025). Along the way I won the TechCrunch Disrupt SF Hackathon (2015 ↗) and was Qualcomm Developer of the Month. Business Insider listed me among the top 30 Spanish tech voices (article ↗). I studied Telecommunications Engineering at University of Deusto, Top 50 Graduate (ProUD Alumni ↗).
Recent Work 2026
Demos I built end to end for NVIDIA events in 2026. The recurring theme: how much AI you can fit on a single machine, and the engineering to keep it alive on a show floor.
- Physical AI, live in Japan. A Unitree G1 humanoid walking through a simulated smart factory and a Franka arm stacking cubes, physics fully on GPU with NVIDIA Newton, responding to commands in English, Spanish and Japanese. I built it end to end and handed it over to the NVIDIA team in Japan, where it runs today.
- Teleoperating robots in VR. For the GR00T N1.7 + LeRobot launch with Hugging Face, I drove the SO-101 robot arm inside Isaac Lab from a Quest 3 headset, and fixed the streaming stack along the way with two upstream contributions to Isaac Teleop (Seeed article ↗).
- Two humanoid robots, one Jetson. NemoCast: a live AI news show hosted by two UBTECH Alpha Mini robots at Computex 2026, with Gemma 4, Kokoro TTS and live English to Mandarin translation running locally on a single 8 GB Jetson Orin Nano Super.
- Watching a world model think. Interactive NVIDIA Cosmos demos on 8x H100s: real footage next to generated video on a slider, and a live viewer that shows every denoising step while the model generates.
- Text to video on a desktop box. A complete AI video pipeline (LTX-2.3, 22B parameters) built for GTC Taipei, running entirely on one DGX Spark: type a prompt, get a finished clip.
Current Role & Focus
- Physical AI demos. Humanoids and robot arms simulated with Newton and Isaac Sim/Lab, wired to natural language control. I run them live at NVIDIA events worldwide.
- Robot learning. GR00T foundation models and LeRobot SO-100/101 arms. I collect demonstrations by teleoperating in VR (Quest 3 over CloudXR), then fine-tune policies and measure if they actually improved.
- Generative AI on the edge. The latest open models (Qwen, Gemma, Llama, multimodal VLMs) running on Jetson Orin and Thor, where every megabyte of memory counts.
- Demos that survive the show floor. Automatic failover, watchdogs, rehearsal modes, and a post-mortem after every demo day.
- Hands-on content. Workshops and labs that developers and partners can reproduce on their own hardware. My rule: if you can't get the demo running in under 15 minutes, it's not finished.
- Community. I work with developer communities, students, researchers, and enterprise partners around the world.
Speaking & Global Engagement
My format is the live demo: real hardware, running in front of the audience. Some of the stages:
- Google Tokyo & Paris. The international debut of Gemma 2 in Tokyo (2024) and the Gemma 3 launch in Paris (2025), with demos running live on Jetson.
- Computex & GTC. Physical AI at the NVIDIA booths in Taipei: humanoid robots hosting a live news show from a single Jetson, and a GPU-simulated factory you command by voice. In 2026 I also gave my own session at GTC Taipei: "How to Run Open Models and Agentic AI Efficiently at the Edge" (replay ↗).
- Universities. Talks and labs for students and researchers getting started in AI and robotics.
- Industry events. Technical workshops and hands-on labs for developers and enterprise partners.
- Developer communities. Meetups and open source around robotics and generative AI on Jetson.
- TEDx & MIT Enterprise Forum. AI explained to general audiences with demos instead of slides.
Technical Expertise
• Newton & MuJoCo GPU physics
• GR00T (VLA foundation models)
• LeRobot SO-100/101 arms
• XR teleoperation (CloudXR, Quest 3)
• Qwen, Gemma, Llama families
• NVIDIA Cosmos world models
• Speech pipelines (ASR + TTS)
• Local inference: vLLM, llama.cpp
• DGX Spark (GB10)
• RTX workstations
• Edge computing devices
• Developer advocacy
• Educational content
• International speaking
