Profile
I build between software, electronics and applied research.
I am an electronic engineer and frontend developer interested in AI systems that do more than work in a demo: they should be explainable, measurable and deployable under real constraints.
Current focus
Efficient AI with evidence, not only demos.
My current work focuses on hardware-aware machine learning, anti-leakage evaluation, quantization and reproducible workflows for demanding medical problems.
How I work
I like building maps, prototypes and systems that others can inspect.
I work best when research, product and documentation meet: reading papers, turning them into experiments, designing interfaces to explore them and leaving a clear route for others to understand the technical decisions.
Technical library
Resources for following the work map.
I maintain a living library of readings, repositories, references and tools that feed my research and technical notes.
Collaborations
Open to scientific and technical work with concrete goals.
I welcome conversations about scientific collaborations, research opportunities, conferences, specialized teaching and selective technical consulting where my experience in efficient AI, digital systems and product can create real value.
Stack de trabajo
IA y machine learning
Modelado, evaluación reproducible, cuantización y lectura técnica de papers.
Frontend y producto
Interfaces claras para explorar sistemas, datos y flujos editoriales.
Hardware y sistemas
FPGA, Verilog, diseño digital y restricciones reales de despliegue.
Automatización y escritura
Sistemas de contenido, notas técnicas, SEO estructurado y flujos AI-ready.