Manuel Sánchez Hernández

I explore the frontiers of knowledge and technology to help people and organizations.

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mansanher@gmail.com

Barcelona, Spain

I am interested in how science, software, and AI can be turned into systems, teams, and products. For more than 15 years, that has been the focus of my work in machine learning and AI.

Most recently at Adevinta, I led the central machine learning organization and co-led generative AI strategy across European marketplaces. My work combined strategy, platform building, production systems, and large-scale AI adoption, improving both customer experience and internal productivity.

Earlier in my career, I built machine learning capabilities at Schibsted, developed automatic investment strategies at Morgan Stanley in London, and led product and supply initiatives in a Procter & Gamble joint venture in Barcelona.

I also teach and facilitate AI and machine learning for executive and technical audiences. Feel free to contact me if you are interested.

This site collects my writing and selected public projects on AI, LLMs, machine learning systems, software engineering productivity, and evaluation.

latest posts

selected projects

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TheorIA Dataset

Apr 2025-present · Founder and maintainer

Open dataset of theoretical physics results for language-model reasoning

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AI Tooling Evaluation

May-Jun 2025; published Mar 2026 · Pilot co-lead and author

Evaluation of software-engineering AI tools

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Platic Transcription Webapp

2022-2023 · Founder and full-stack builder

Full-stack transcription product built around OpenAI Whisper

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Hugging Face Transformers Contribution

Aug-Sep 2024 · Open-source contributor

Dynamic image-resolution support for vision-language models

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Kaggle Competition: Quora Insincere Questions

Nov 2018-Feb 2019 · Competitor

NLP competition under strict Kaggle kernel constraints, which finished with a Gold Medal