Based on two decades of electronic hardware design experience in low-level and highly efficient systems, I developed a state of the art Generative AI hardware accelerator, which pushes the limits of technology, by getting ever closer to the mathematical limits of AI algorithms. The technology is proven and its performance measured in several FPGA families using popular LLMs, where we provide above 20% more efficiency than top competitors, such as Nvidia and Google. This efficiency translates in a higher speed, lower power, and a smaller size, using the same base technology.My role at RaiderChip involves managing the engineering team, oversee the core technology development, and handle strategic hiring to build our capabilities.I lead the engineering efforts to target our technology from low-cost FPGAs up to semiconductor ASIC SoCs to serve users at large scale, as well as supporting the latest Generative AI LLMs, such as the Phi family from Microsoft, the Llama models from Meta, and its many derivatives, as well as the much larger enterprise level LLMs.

Hardware IP core design towards ASIC & FPGA targets for international companies of all sizes.Taking part in contract negotiation for real engineering-based proposal drafting.Managing top-rated technical support, including field engineer roles.Main areas of expertise:- Hardware video processing pipelines, video and still image compression- Hardware based data compression and cryptography- EDA software for automated source code analysis

Applied Research in Computer Vision and Hardware engineering.Research on shape detection and extraction from natural images directed towards traffic and in-vehicle artificial vision.Developed HW & SW solution for automatic detection of inadequate driving through an image acquisition and artificial vision processing as part of a larger Spanish R&D project with several national universities and automotive engineering companies.

Computer Vision research & Hardware design on contract

Telematic Services Development:Development, launch and management of Citroën Urgencia in Spain: a service in which a car in distress (accident, driver illness, etc.) automatically calls and sends GPS location to a dedicated Citroën call-center, which acknowledges the situation and takes charge of contacting and directing all appropriate emergency services to the customer.- Developed marketing documents and actions- Commercial directions & support towards car-dealers- Solved technical issues for service implementation- Provider negotiation, contracting, and service QAResult: achieved succesful, on schedule launch, being leader in subscriber percentage in Europe, above all other countries, including those with an already established service.

Researcher in biometric HW/SW IPs.Development of FPGA based Fingerprint Recognition Algorithm

Conducted R&D on GIS systems.Developed software solutions based on VB for GIS and document management for public institutions of Cantabria