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Jorge M.
Machine Learning Engineer
Jorge is a distinguished Deep Learning Researcher and Engineer renowned for his extensive expertise in the realms of AI and Machine Learning.
In the sphere of independent projects, Jorge has consistently demonstrated a propensity for innovation. He has made notable contributions to diverse endeavors, including projects related to 3D world generation and the creation of GAN-generated imagery.
However, Jorge's achievements extend far beyond his technical prowess. He has achieved recognition as an award-winning academic, celebrated for significant accomplishments such as winning prestigious contests like the Human-Like Bot and 2K BotPrize competitions.
Driven by an unwavering enthusiasm for AI and deep learning, Jorge stands ready to contribute his distinctive blend of experiential knowledge and innovative thinking to a forward-looking organization focused on AI and machine learning.
Main expertise
- TensorFlow 8 years
- PyTorch 3 years
- Python 8 years
Other skills
- Docker 8 years
- Google Cloud 8 years
- Kotlin 3 years
Selected experience
Employment
Deep Learning Engineer/Researcher
Freelance - 4 years 11 months
- Works independently on various engagements for global clients, applying deep learning and machine learning expertise to solve complex problems and create innovative solutions;
- Designs and implements a reinforcement learning system for 3D virtual world generation using Unreal Engine and Houdini;
- Develop a prototype service for replacing real faces in images with GAN-generated fake faces to enhance privacy and security;
- Creates stock price prediction models employing advanced techniques like wavelets, transformers, and sequence-to-sequence models;
- Develops an aesthetics ranking system for images, integrating deep learning for enhanced accuracy and reliability;
- Works on 3D cloud point semantic instance recognition, contributing to advancements in computer vision and pattern recognition.
Technologies:
- Technologies:
TensorFlow
- PyTorch
Python
Machine Learning
- Data Science
Keras
Pandas
NumPy
Scikit-learn
- NLP
Docker
AWS
Google Cloud
Founder and CEO/CTO
Serendeepia - 1 year 8 months
- Develops and implements innovative deep learning solutions for various clients, including Fortune 500 companies;
- Utilizes tools like GitHub, Kubernetes, Jenkins, and Polyaxon to optimize the development, testing, and deployment processes.
Technologies:
- Technologies:
-
TensorFlow
- PyTorch
-
Python
-
Machine Learning
- Data Science
-
Keras
-
Pandas
-
NumPy
-
Scikit-learn
- NLP
Kubernetes
Remote Machine Learning Engineer/Researcher
Chute, San Francisco, CA, USA - 2 years 7 months
- Solely handles the processing of social media data from platforms like Instagram and Twitter, extracting valuable insights in real time;
- Develops multilabel image classification systems using TensorFlow and TensorFlow Serving, enhancing the company's media analysis capabilities;
- Creates an aesthetic model to score the beauty of images, contributing to the refinement of visual content analysis;
- Develops a model to create a perceptual hash of images, enhancing the efficiency of image recognition and analysis.
Technologies:
- Technologies:
-
TensorFlow
-
Python
-
Machine Learning
- Data Science
-
Keras
-
Pandas
-
NumPy
-
Scikit-learn
Convolutional neural network
Education
BSc.Mathematics
UNED · 2020 - 2024
Standalone courseMBA
EOI · 2011 - 2012
Doctor Of PhilosophyComputer Science and Artificial Intelligence
University Carlos III of Madrid · 2008 - 2011
MSc.Computer Science and Information Technology
University Carlos III of Madrid · 2007 - 2008
BSc.Computer Science Engineering
University Carlos III of Madrid · 2001 - 2006
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