Current Work
I work as a freelance consultant and 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.
Facial landmark detection
Hand landmark detection
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.
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.
I’m continuously learning through courses, attending conferences, and reading books to stay current with the latest trends and advances in AI and machine learning.
Bournemouth University
University of Granada
University of Granada
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
