Language: ES 100%, EN 100%

José R. GALLARDO

Data Engineer & Physicist

€850 Per day
This scale measures the level of project complexity that can manage our consultant.

Data Scientist, 20 years experience, University research and National center of research. Working actually in swarm intelligence and future fields.

Achievement:

  • Optimization algorithms in UMTS technology.
  • Synthetic global solar irradiance prediction for solar energy.
  • Forex prediction systems.
  • Cellular automata in swarm intelligence as an alternative to the actual methods in data

Download Resume

Availability: Available in 15 days

Position: Lead, Project Manager, Advisor

Experienced Physical Data Scientist with diverse industry experience in sensors and actuators, algorithm design for the telecommunications industry and defense, university education and research centers. Professional expertise includes design and measurement systems on prototypes, microelectronic, data analysis, artificial intelligence, software and hardware test and measurements.

KNOWLEDGE BASE:
Math, Statistic and optimization, Control system design and Analysis, Signal processing and communications, image processing and computer vision, nuclear Magnetic resonance, image processing, Test and measurement, Computational finance, mapping , GPS, GIS, Computational Biology, Code generation, Code verification, Application deployment, database connectivity and reporting, simulation graphics and visualization, Machine learning, Neural nets, Deep Learning, Swarm intelligence.

TECHNOLOGY STACK:
Deep learning with Theano as a compiler for mathematical expressions in Python that combines NumPy’s syntax with the speed of optimized native machine language. Composes mathematical expressions in a high-level description that mimics NumPy’s syntax and semantics, while being statically typed and functional (as opposed to imperative). These expressions allow Theano to provide symbolic differentiation. Before performing computation, Theano optimizes the choice of expressions, translates them into C++ (or CUDA for GPU), compiles them into dynamically loaded Python modules, all automatically. Common machine learning algorithms implemented with Theano are from 1.6× to 7.5× faster than competitive alternatives (including those implemented with C/C++, NumPy/SciPy and MATLAB) when compiled for the CPU and between 6.5× and 44× faster when compiled for the GPU.
All this technology is applied in GIS (Geografical Information Systems) with optimized augmented reality systems for image processing and navigation Systems.

06/2016 to 04/2017 Physicist researcher for UAV (Unmanned Aerial Vehicle) at BCN AEROPRAXIS

Project Term: 01/2016 - 04/2017

Industry: Aeronautical & Satellite equipment services, Geographical Information Systems, Augmented Reality Vision

Role: Research advisor development

first-comment

UNIVERSIDAD DE JAÉN - 2007 – 2015

Research assistant at the Centre of Advance Studies in Energy and Environment.
Research in Artificial Neural networks for the generation of Direct Normal Solar Annual Irradiance Synthetic Series. Solar Radiation , Neural Networks, Artificial Intelligence, Meteorological, Data, Modeling and Forecasting, Statistic and Prediction.

second-comment

Telefonica I+D

R&D Engineer @ Nova Notio, Telefonica I+D, INDRA
R&D Engineer at Nova Notio, working as a researcher at the Radio Communications Department , in Telefonica I+D. •UMTS planning tools based on theoric calculation of coverage and capacity. •Mathematics and algorithm design of OKUMURA-HATA models, implemented in C++ for UMTS technologies. Optimization modules with linear regression methods. Geographical information systems, GIS . Matlab, Labview, Maple, Mathematica software.

+20 Years working with multicultral and international teams making
the most advanced projects in AI field solve real life problems.
Client 1
Client 2
Client 3