Guillermo Barbadillo
Verified Expert in Engineering
Computer Vision Developer
Pamplona, Spain
Toptal member since June 30, 2018
With over 10 years of experience in artificial intelligence, Guillermo is one of the world's leading experts. He has won numerous awards in international data science competitions, recently placing 3rd in the Abstraction and Reasoning Challenge organized by Kaggle. Throughout his extensive career, Guillermo has tackled a wide range of projects using diverse data types. If you have a problem that AI can solve, he's the one who can make it happen.
Portfolio
Experience
- Machine Learning - 10 years
- Artificial Intelligence (AI) - 10 years
- Data Science - 10 years
- Computer Vision - 10 years
- Deep Learning - 10 years
- Torch - 5 years
- Generative Artificial Intelligence (GenAI) - 2 years
- Large Language Models (LLMs) - 1 year
Preferred Environment
Keras, TensorFlow, Python, Torch
The most amazing...
...achievement of mine is winning numerous awards in various international competitions, with total prize winnings exceeding $90,000.
Work Experience
Lead AI Research Scientist
Veridas
- Developed state-of-the-art models for face and voice biometrics.
- Built state-of-the-art models for face and document antispoofing.
- Created state-of-the-art models for age estimation.
Data Scientist
das-Nano
- Developed the core AI contactless counting system that powers Lynx (Das-nano.com/lynx).
- Used state-of-the-art deep learning architectures to solve computer vision problems.
- Defined the hardware needed to achieve the required performance.
Experience
LinkedIn Profile
Kaggle Master
https://www.kaggle.com/ironbarEducation
Master's Degree in Automation and Electronics Engineering
UPNA - Navarra, Spain
Skills
Libraries/APIs
TensorFlow, Keras, NumPy, Pandas
Languages
Python
Other
Data Science, Artificial Intelligence (AI), Deep Learning, Machine Learning, Computer Vision, Natural Language Processing (NLP), Torch, Large Language Models (LLMs), Generative Artificial Intelligence (GenAI), Deep Reinforcement Learning
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