Leo Araújo Email & Phone Number
Who is Leo Araújo? Overview
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Leo Araújo is listed as Senior Data Scientist at Ambev Tech | M.Sc. in Computer Engineering at Ambev Tech, based in João Pessoa, Paraíba, Brazil. AeroLeads shows a matched LinkedIn profile for Leo Araújo.
Leo Araújo previously worked as Senior Data Scientist at Ambev Tech and Computer Vision Engineer at Grupo Icts. Leo Araújo holds Mestrado Em Engenharia, Engenharia De Computação from Universidade Federal De Campina Grande.
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About Leo Araújo
As both a researcher and an engineer, I like to think of myself as someone who teaches computers to see the world as us humans do, so that in return, they can help me automate challenging tasks such as diagnosing diseases or identifying faulty products as they're assembled in the production line.🏃🏽. Experience: - 4+ years of Deep Learning & IA; - 4+ years of Digital Image Processing; 📚. Knowledge areas: Computer Vision, Deep Learning, Machine Learning, Digital Image Processing, Digital Signal Processing.🚀 Technologies and skills: Python, OpenCV, Keras, Tensorflow, PyTorch, Scikit-Learn, Google Cloud Platform, Amazon Web Services, MLOps, GitLab, GitHub, C/C++, Matlab.🗣️. Languages: Portuguese, English and French.
Leo Araújo's current company
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Leo Araújo work experience
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Computer Vision Engineer
Working on the research and development of Computer Vision solutions to perform visual inspection in televisions/monitors at the assembly line.• Co-responsible for defining the technical standard of the Artificial Intelligence research.• Co-responsible for interviewing and training new employees with Artificial Intelligence related positions.• Use of Computer Vision and Machine Learning techniques to develop fast and robust solutions to operate in real time.• Use of multiple types of input data such as audio clips, images and videos.• Use of cloud services such as Amazon Sagemaker to train complex Deep Learning models.
Graduate Research Assistant
• Project conducted under Prof. Luciana Veloso's guidance.• Research on interpretable Deep Learning models trained to assist radiologists in the identification of pulmonary disorders.• Co-managing a team of 3 undergraduate students and their individual researches on Machine Learning applied to Healthcare.
M.S. Student
Researching on Federated Learning and its possible applications for Deep Learning based automated diagnosis of pulmonary diseases such as COVID-19 using image data.• Using Convolutional Neural Networks to process CT scans and X-Ray scans across multiple datasets from different countries.• Experimenting with different aggregation functions to combine local models and produce global models with high generalization capabilities.• Expected to graduate in December 2022.
Postgraduate Teaching Apprenticeship
• Class conducted under Prof. Luciana Veloso's guidance.• Co-teached Introduction to Digital Image Processing and Computer Vision to two classes of 20 undergraduate students each.
Junior Computer Vision Engineer
Research and Development of Computer Vision algorithms focused on biometric applications.• Co-responsible for training a group of 8 interns with Artificial Intelligence related tasks.• Developed a system capable of performing the automatic segmentation of fingerprint files using Digital Image Processing techniques.
Intern
• Contributed to the development of a system for automated vehicle inspection using Deep Learning and Computer Vision.• Trained Convolutional Neural Networks to perform image classification using Multi-task Learning approaches.
Undergraduate Thesis
Study on Deep Learning about Convolutional Neural Networks trained to automatically colorize grayscale images.• Grayscale images were colorized using state-of-the-art pre-trained models.• The results were compared to the original colored images and evaluated according to quantitative metrics such as SSIM, PSNR and MSE.• A social experiment was also developed in order to verify if volunteer were able to discriminate colorized pictures from real photos.
Research Student
Responsible for the extraction and manipulation of satellite image data provided by the Tropical Rainfall Measuring Mission (TRRM).• Evaluation of the satellite's measurements through comparisons between TRMM data and rain gauge data provided by inland stations.• Extraction of a time series extending from 1998 to 2014 using OpenGrads and the comparisons were derived through Microsoft Excel and R.
Leo Araújo education
Mestrado Em Engenharia, Engenharia De Computação
Bacharelado Em Engenharia, Electrical And Electronics Engineering
Frequently asked questions about Leo Araújo
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What company does Leo Araújo work for?
Leo Araújo works for Ambev Tech.
What is Leo Araújo's role at Ambev Tech?
Leo Araújo is listed as Senior Data Scientist at Ambev Tech | M.Sc. in Computer Engineering at Ambev Tech.
Where is Leo Araújo based?
Leo Araújo is based in João Pessoa, Paraíba, Brazil while working with Ambev Tech.
What companies has Leo Araújo worked for?
Leo Araújo has worked for Ambev Tech, Grupo Icts, Universidade Federal De Campina Grande, and Vsoft.
How can I contact Leo Araújo?
You can use AeroLeads to view verified contact signals for Leo Araújo at Ambev Tech, including work email, phone, and LinkedIn data when available.
What schools did Leo Araújo attend?
Leo Araújo holds Mestrado Em Engenharia, Engenharia De Computação from Universidade Federal De Campina Grande.
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