Career

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  Dstil Co-founder & CTO

  01/05/2025 — Present
  • Designed and built a full-stack SaaS marketplace that connects SME owners (sellers) with investors and acquirers (buyers), automating the entire M&A due diligence and valuation process through coordinated AI agents.
  • Built a two-sided M&A marketplace where sellers list via AI-generated teasers and buyers initiate structured deal flow.
  • Developed a multi-agent pipeline assessing financial, legal, operational, and strategic readiness with automated valuations.
  • Implemented real-time AI chat, deal lifecycle management, and an admin layer for prompts, scoring, and test suites.
  • Tech stack: FastAPI, Temporal, PydanticAI, PostgreSQL, Logfire, NextJS, Astro.js, Tailwind, Docker, Vercel, Fly, Google Cloud Platform, Flagsmith, Posthog, Resend
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  Qantev Lead Data Scientist / Lead Machine Learning Engineer

  01/03/2023 — Present
  • Leading a cross-functional team of 6 engineers to build Qantev’s AI-powered Claims Management platform, handling hiring, performance reviews, and day-to-day team management alongside the technical work.
  • Built Qantev’s medical expert AI agent from 0 to production: designed the RAG architecture, integrated external tools, led deployment, owned the customization layer, and set up guardrails, evaluations, and observability.
  • Owned the full product lifecycle of multiple features end-to-end: product scoping with clients and prospects, FastAPI backend, React frontend, and production deployment, from whiteboard to live users.
  • Fine-tuned domain-specific transformer models for medical claim understanding and fraud detection, including OCR for handwritten medical documents, document classification and splitting, and forgery detection.
  • Deployed Qantev’s automated claims management solution for two major LATAM insurers, managing client implementations end-to-end and leading technical sales efforts with 100+ live demos and POCs.
  • Tech stack: HuggingFace Transformers, Pytorch, PydanticAI, FastAPI, Django, Temporal, React, PostgreSQL, Microsoft Azure
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  Talgo Data Scientist

  01/10/2021 — 28/02/2023
  • Spearheaded €1M+ predictive maintenance initiative using machine learning to predict component failures in high-speed trains
  • Developed and deployed anomaly detection pipelines for critical systems, reducing unplanned downtime and maintenance costs.
  • Defined data engineering and visualization standards for internal stakeholders, improving reproducibility and communication across teams.
  • Established coding guidelines and best practices across the intelligent maintenance team
  • Tech stack: Tensorflow, HuggingFace Transformers, Pandas, Numpy, Scikit-Learn, PostgreSQL, Google Cloud Platform
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  StyleSage Data Science Intern

  01/06/2020 — 31/08/2020

  Built Deep Learning-based CV and NLP models to classify fashion products for 10+ e-commerce retailers.

  • Delivered a smart tagging API that improved product categorization.
  • Built models using TensorFlow, Scikit-Learn, OpenCV, and InceptionV2.
  • Handled 400M+ item datasets on AWS, using SQL and Django ORM for backend work.

Education

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  École Centrale de Lyon (ECL) B.Sc. in Mechanical Engineering (Double Degree with UPM)

  2017-09-01 — 2021-06-30

  Part of a double degree program with Universidad Politécnica de Madrid. Major in Data Science and minor in Mechanics.
  Key coursework: Machine Learning, Neural Networks, Genetic Algorithms, Multimedia Informatics, Mechanical Engineering, Vibrational and Structural Design.

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  Universidad Politécnica de Madrid (UPM-ETSII) B.Sc. and M.Sc. in Industrial Engineering (Mechanics)

  2015-09-01 — 2021-06-30

  Specialized in mechanical systems and advanced engineering methods.
  Outstanding projects:

  • Co-writer of the research paper “Time Consideration in Machine Learning Models for Train Comfort Prediction Using LSTM Networks” (under review).
  • Master Thesis: ResNet CycleGAN-Based Image Encryption Technique for Intelligence Applications.