Background

I hold a PhD in Machine Learning from Bournemouth University and a Master’s in Soft Computing and Intelligent Systems from the University of Granada. My research focused on AutoML, data-stream mining and adaptive learning, always at the intersection of theory and real-world application.

Current Work

I work part-time at Blink, where I develop deep learning systems for solving computer vision challenges such as face detection, monocular 3D eye estimation and hand tracking. This work demands precision at every stage: data collection, model architecture, evaluation metrics, and deployment optimization.

Working Style

I lie in the intersection between research and software engineering. I value clarity over cleverness, reliability over novelty, and solutions that have a real impact. My experience spans the full AI lifecycle: from designing experiments, writing code to model deployment.

I’ve worked remotely for international teams for over 7 years. I communicate proactively, detect problems early, and deliver on commitments. I’m comfortable discussing machine learning foundations with researchers as well as communicating with final clients.

Professional Accreditation

I am a member of CPITIA (Professional Association of Technical Engineers in Computer Science of Andalusia) with membership number 20250131-A. I follow a code of ethics that ensures ethical and responsible professional practice. Additionally, I hold Professional Liability Insurance to protect my clients.

Education

  • 2017 — PhD in Machine Learning, Bournemouth University
  • 2011 — Master in Soft Computing and Intelligent Systems, University of Granada
  • 2009 — MSc Computer Engineering, University of Granada
  • 2007 — BSc Technical Engineering in Computer Systems, University of Granada

Awards & Recognition

  • Winner team of Transport Hackathon at Smarter Travel LIVE! (2016)
  • Peer Prize — 7th Annual DEC PGR Poster Conference (2014)
  • ESA Special Prize and 2nd in overall ranking — European Satellite Competition (2013)
  • PGR Development Scheme — INRIA Visual Recognition and Machine Learning Summer School (2012)
  • PhD Scholarship — 3-year funding at Bournemouth University (2012)
  • Distinction in Master’s Final Project (2011)
  • Distinction in Degree’s Final Project (2009)

Values and Commitments

I believe in transparent, collaborative relationships. Here’s how I approach my work and what I hope from clients:

Collaboration

My commitment: I work proactively and aligned with the team, understanding objectives and proposing improvements as part of the project.

Client commitment: Treat me as a team member, sharing relevant information, context and decisions transparently.

Involvement

My commitment: I get involved in the project with a product mindset: understanding objectives, impact and priorities.

Client commitment: Share business objectives, context and feedback so I can make good decisions.

Straight-talking

My commitment: I communicate clearly and early when something isn't feasible, when there are risks or blockers, proposing alternatives.

Client commitment: Have clarity about objectives, deadlines, budget and available resources, and communicate them openly from the start.

Simplicity

My commitment: Prioritise simple, maintainable solutions aligned with the real problem, avoiding unnecessary complexity.

Client commitment: Value practical and sustainable solutions over over-engineering or technological fads.

Holistic vision

My commitment: I like understanding the business, the product and the technical ecosystem to make better technical decisions.

Client commitment: Facilitate access to relevant information about the business, users and technical context.

Continuous learning

My commitment: Stay up-to-date on AI to apply modern and efficient solutions when they provide real value.

Client commitment: Trust my technical judgement and understand that learning and evaluating technology is part of quality work.

Career Timeline

Career Timeline