I am a Machine Learning Engineer at Zetalabs S.L. (Spain) and I also collaborate as a Digital Sherpa for the national education program "Innovacción Virtual" with Microsoft Mexico. I've worked as a Python Dev at CloudLinux and served as a research assistant in applied AI at the Mathematics Research Center (CIMAT), part of the National Consortium of Science and Technology (CONACYT) in Mexico. I participated in a research project during a summer internship (2017) at the Aspuru-Guzik Research Group, in the Department of Chemistry and Chemical Biology at Harvard University, working with applied machine learning for molecular properties prediction and calibration. I am (currently) a Google Developer Expert in Machine Learning.
Leading the AI development team. Contributing with computer vision tasks for company's product.
Codeando México mainly focuses on executing activities that connect society and governments, the usage of technologies and internet-based solutions for civic purposes.
Pushing efforts to open (and work with) data in the city. Helping the city with trainings for digital jobs, including programming courses on Python and web development.
Working as an AI consultant for NULLSEC, a computer security company focused on ethical hacking. Particularly helping in the development of NullRansom, an analyzer-debugger software with the purpose of filtering TCP protocol requests, preventing preventively being targeted by malware and ransomware viruses.
Lead ML engineer in Omdena's collaborative tree identification challenge to prevent fire outbursts. Contributed with the models developed and the data preprocessing (we develped a Python package for it).
In charge of building automation solutions with Python. The tech stack used includes Scrapy, Luigi, requests, and MongoDB.
On charge of doing research and building neural networks for computer vision problems, focused on applications and solutions for real industry issues. Deployed trained models to production.
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For a detailed reference about this section, please visit this link.
Some of my most recent talks and workshops are...
(More talks have happened between those dates –most of them about AI–, I'm only adding the most relevant ones in that period of time.)
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This section contains awesome projects that I've developed:
An easy-to-configure simple resume template built with Flask and Bootstrap.
Flask Python Bootstrap
A set of Google Colab notebooks and a Flask base API to learn and serve Deep Learning. Prepared for my workshop at RIIAA 2.0.
Python Tensorflow 2.0 Keras Deep Learning
A Python package to build image pipelines in a simple way. Preprocess data to feed neural networks in an easier way.
Python PyPI Images Data Preprocessing Documentation
Classify handwritten digits directly on your computer or your phone. As simple as taking a picture of a written random multi-digit number.
Python Bootstrap Web Platform Flask MNIST CNN Keras
A real-time coding session with an emotion recognizer on facial expressions for a Data Mérida meetup (01/04/2019). The Ai was developed with Python and Keras.
Python Computer Vision Keras Neural Networks
API template built with Python and Flask. Serve an Iris classifier as an API. Content for a workshop.
Flask Python API scikit-learn
A micro template built with Flask and Bootstrap. Used for minimal testing in Glitch.
Flask Python Bootstrap
Molecular transformations for graphic displaying using Cartesian coordinates.
Python PyPI Molecules Rigid Transformations
My first clock face for Fitbit Versa, inspired in Ben 10's Omnitrix.
TypeScript Ben 10 Fitbit Fitbit Versa
This Flask template was built with by Rodolfo Ferro, under a MIT License.