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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
Full-time Machine Learning Engineer Mentor and Project Reviewer at Udacity
Education
University of London
Computer Science
Bachelor's Degree
2019 - 2022

Work Experience

Work Experience
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.
CGG Services, Machine Learning Engineer
2020 - 2020
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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