I am a passionate machine learning engineer experienced designing, building, and optimizing state-of-the-art deep learning algorithms in real world applications. I enjoy creating solutions to complex problems in fast paced environments. With a highly diverse educational background and cultural experiences I excel at collaborating with teams of different knowledge sets. I have a versatile set of skills to adapt and learn quickly. Always researching, learning and continuously self improving.
Packt Publishing, Author
2019 - Present
Writing a book named "Mastering Machine Learning with Tensorflow Lite"
Udacity, Independent Consulting
2018 - Present
• Assisted more than +500 students in a chat room for an Sentiment Analysis with Neural Networks project in PyTorch.
• Delivered daily 1-on-1 mentoring to students on the Computer Vision Engineer Nanodegree.
• Review about +70 project submissions monthly from 3 different ML related projects maintaining a 5 star rating.
• Contributed with the development of 2 different projects by providing feedback about students’ performance and bugs.
Everis, Machine Learning Engineer
2018 - 2019
• Developed a convolutional neural network for facial emotion recognition to estimate customer satisfaction.
• Improved processes efficiency 99.30% by using big data tools from Azure Databricks.
• Collaborated with multiple teams daily to improve existing applications by applying machine learning.
• Implemented an end-to-end application to analyze customer behavior using computer vision.
UpWork, Machine Learning Freelancer
2017 - 2019
• Applied state-of-the-art machine learning algorithms to business applications on the web.
• Developed a Convolutional/Recurrent neural network model to caption images from news headlines.
• Trained a convolutional neural network to recognize three main facial expressions with +93% accuracy.
• Designed, modified and improved professional machine learning code in python
Zero Eyes, Lead Artificial Intelligence Engineer
2017 - 2017
• Lead the modeling, planning and execution of all Artificial Intelligence products.
• Trained a high performance Faster R-CNN model with a custom made dataset of 5000 images.
• Recommended innovative alternatives to generate revenue and reduce unnecessary costs.