Freelancer profile translated to English.

Description

If you need a true professional to lead and develop your Artificial Intelligence project, look no further.

With over ten years of experience, a PhD in Artificial Intelligence, and research stays at prestigious universities such as the University of Cambridge (Department of Engineering) and the University of London (City University of London), I have the capabilities and resources to develop any Artificial Intelligence project from scratch that my client needs.

As Chief Technology Officer (CTO) of Biyectiva Technology and with an extensive track record of over 50 Engineering projects, I currently lead a high-performance team (of over 15 people) with a special focus on Machine Learning, Computer Vision, Predictive and Recommendation Models, and Data Classification Models.

Among the projects I have led and implemented, I can highlight:

- Motorized camera for real-time people tracking, with trajectory prediction and facial recognition (performance superior to companies like Huawei or Samsung).

- Automatic system for balancing energy generation for Iberdrola S.A. power plants (cost savings of generation in the order of 6 figures).

- Recommendation System for suggested products in eCommerce that increased sales by 54%.

- Facial recognition system for clocking in and emotion analysis (98.7% accuracy).

- Early detection system for spoiled fruit (reduction of spoiled fruit exceeding 95%).

- Automatic processing and reading system for Invoices, Receipts, and Delivery Notes for extracting relevant information (monetary amounts, dates, tax IDs, etc.) - 93% field accuracy -

Contact me if you have any questions, and I will analyze your project for free before making a proposal.

Languages

Spanish
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Murcia (up to 50km)

Biyectiva Technology
CTO
September 2018 - Today (7 years and 11 months)
Spain
- Lead the Engineering team, providing strategies and the required expertise to deliver amazing Artificial Intelligence products in a cost-effective manner. - Design products and services to meet customer and market needs - Re-think procedures to optimize work flows
UPCT
Predoctoral researcher and Junior Lecturer
September 2015 - September 2019 (4 years)
Cartagena Area, Spain
I currently research on the impact of state-of-the-art Machine Learning techniques on the Internet of Things and Long-Range Communications. My main focus is on how Reinforcement Learning can derive smart transmission policies for hardware and power-constrained devices. Other areas of interests are general purpose Wireless Sensor Networks, efficient communication protocols, Smart Grids and AI in a broader sense. Teacher of the bilingual group for Fundamental of Telematics and Digital Content Laboratory.
Department of Engineering at the University of Cambridge
Visiting Researcher
July 2018 - September 2018 (2 months)
Cambridge, United Kingdom
PhD student at the Cambridge University (Department of Engineering). During my stay I studied the application of optimization and Machine Learning techniques to low-power wireless network. The main objective was to improve the QoS of LoRa networks via mathematical optimization.