Alejandro García Osés

Machine Learning Engineer at Intelygenz
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Pamplona, Chartered Community of Navarre, Spain, ES
Languages
  • Español Native or bilingual proficiency
  • Inglés Professional working proficiency
  • Japonés Elementary proficiency
  • Chino Elementary proficiency

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
Join now
You need to have a working account to view this content.
Join now

Credentials

  • Kubernetes for the Absolute Beginners - Hands-on
    Udemy
    Aug, 2023
    - Nov, 2024
  • Hugging Face Deep Reinforcement Learning Course
    Hugging Face
    Apr, 2023
    - Nov, 2024
  • Building Modern Python Applications on AWS
    Coursera
    Jan, 2023
    - Nov, 2024
  • AWS Cloud Technical Essentials
    Coursera
    Oct, 2022
    - Nov, 2024
  • Introduction to SQL
    DataCamp
    Jun, 2022
    - Nov, 2024
  • Deep Learning Engineer
    Workera
    Aug, 2021
    - Nov, 2024
  • Aprendizaje automático
    Coursera

Experience

  • Intelygenz
    • Spain
    • Software Development
    • 100 - 200 Employee
    • Machine Learning Engineer
      • Jun 2023 - Present

      Development of an anti-fraud system that classifies over 1 million daily transactions in real-time. Development of an anti-fraud system that classifies over 1 million daily transactions in real-time.

  • Veridas
    • Spain
    • Technology, Information and Internet
    • 100 - 200 Employee
    • Machine learning engineer
      • Jan 2018 - Jun 2023

      • State-of-the-art antifraud model: Developing an audited presentation attack detection model, which helped increase the market share of the enterprise. • State-of-the-art face verification model: Developing a face verification algorithm tested by the National Institute of Standards and Technology (NIST). • Full-cycle experiments: Creating experiments to validate hypotheses regarding the usage of new datasets, algorithms, etc. • Machine learning pipelining: Creating reproducible and complex machine learning pipelines with Luigi. • Data analysis: Experience in conveying valuable insights from data using tools such as pandas, seaborn or matplotlib. • Product optimization: Experience in optimizing (reduced latency and memory usage) models for cloud deployment with OpenVINO. Show less

  • Clínica Universidad de Navarra
    • Spain
    • Health and Human Services
    • 700 & Above Employee
    • Investigador
      • Dec 2016 - Dec 2017

      • Functional study of renal perfussion using MRI (Magnetic Resonance Imaging) techniques: - Programming of pCASL (pseudo Continuous Arterial Spin Labeling) & PASL (Pulsed Arterial Spin Labeling) sequences. - Image acquisition with Magnetom Skyra 3T (Siemens) - Motion respiration correction using ANTs (Advanced Normalization Tools) - Mapping of renal perfussion and posterior statistical study • Analytical study of subjects with subjective memory loss: - Exploratory data analysis of brain images (MPRAGE & FLAIR) - Brain volumetry using SPM (Statistical Parametric Mapping) - White matter lesion volume acquisition with LST (Lesion Segmentation Tool) - Statistical analysis between controls and patients Show less

Education

  • University of Zaragoza
    Master's Degree in electronics, Ingeniería eléctrica y electrónica
    2015 - 2016
  • Public University of Navarre
    Bachelor's degree in Industrial Engineering, Specialisation in electronics
    2011 - 2015

Community

You need to have a working account to view this content. Click here to join now