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Tutor profile: Ricardo D.

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Ricardo D.
Machine Learning Engineer
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Bio

About Ricardo

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

Teaching Experience
Mentor and Project Reviewer at Udacity. Tutor Freelancer at UpWork.com.
Education
University of London
Computer Science
Bachelor's Degree
2019 - 2022
Universidad Fermin Toro
Computer Engineering
Bachelor's Degree
2015 - 2020

Work Experience

Work Experience
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.

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