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Experiencia
- NumanTechnical Lead / Senior Software Engineernoviembre de 2021 - Hoy (4 años y 9 meses)Londres, Reino Unido
- As a TL, led a 5-engineer remote squad on Numan's Django medical platform; automated clinician workflows and freed several hundreds staff-hours per year.
- As a SWE, modernised the release GitHub CI/CD pipeline, improved the pytest suite, and added structured logging and several automations, cutting deployment errors and incident churn.
- Built green-field components and features from scratch, including a FHIR-based bridge that integrates external clinical labs, and an agentic entity recognition system using LangChain.
- IntelygenzTechnical Lead & ML Engineernoviembre de 2019 - noviembre de 2021 (2 años)
- Led 6-dev squad, designed ticket-automation service using FastAPI and NATS on AWS Fargate.
- Implemented ML models to estimate last-mile delivery; increased accuracy by 5%.
- Ran internal Python up-skilling program for +30 devs.
- KeepCodingMachine Learning InstructorEDUCACIÓN & E-LEARNINGoctubre de 2019 - Hoy (6 años y 10 meses)Home-workingInstruct the Machine Learning module in KeepCoding’s Big-Data Bootcamp; >200 students taught, >9/10 average rating, twice voted “Best Teacher”.
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Formación
- Máster en Inteligencia Artificial AvanzadaUniversidad Nacional de Educación a Distancia - U.N.E.D.2019Thesis: Django implementation of an autism early screening system using a NAO robot
- Máster Universitario en Ingeniería IndustrialUniversidad Carlos III de Madrid2014Thesis: Design of an international standard for the development of biometric applications