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Ricardo D.
Machine Learning Engineer
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About Ricardo
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.
Teaching Experience
Mentor and Project Reviewer at Udacity. Tutor Freelancer at UpWork.com.
Education
Universidad Fermin Toro
Computer Engineering
Bachelor's Degree
2015 - 2020
Work Experience
Everis, Machine Learning Engineer
2018 - Present
• 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.
Udacity, Code Reviewer
2018 - Present
As a code reviewer, I evaluate student project submissions providing helpful feedback and improving students experience throughout the course. The areas in which I provide project reviews include Machine Learning, Deep Learning, Cloud Infrastructure.
Udacity, Independent Consulting
2018 - Present
As a consultant to educational platforms, such as Udacity, I utilize my specialized knowledge in the fields of Artificial Intelligence, Machine Learning and my strong communication skills to provide project reviews and other student support services.
UpWork, Machine Learning Freelancer
2017 - Present
• 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.
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