Matheus D.Machine Learning Engineer
Skills
An accomplished Machine Learning Engineer with over four years of experience in technology and three years in research, holding a Master's degree in Data Science and AI supported by the prestigious Eiffel Excellence Scholarship. Demonstrates international adaptability with professional experiences in Brazil, France, and Japan, collaborating with diverse teams across more than ten countries. Proven expertise in enhancing deep learning models, implementing natural language processing solutions, and developing robust data pipelines, with a strong proficiency in utilizing tools such as PyTorch, Azure, and Docker. Actively seeking opportunities as a Machine Learning Engineer, Data Scientist, or Data Engineer, with an openness to industrial PhDs.
Research Assistant
3/31/2024 - null
Conducted an extensive literature review on deep learning models aimed at enhancing 360-degree panorama depth prediction, synthesizing insights from multiple studies. Improved an in-house SLAM pipeline by integrating depth maps, resulting in a significant reduction of trajectory errors. Developed a new deep learning model using PyTorch, which utilized cube map projections and led to a notable increase in accuracy over established benchmarks.Machine Learning Engineer
3/31/2023 - 7/31/2023
Developed a highly accurate NLP model for classifying insurance documents, achieving impressive performance metrics. Successfully deployed the model for pre-labeling document pages, which significantly decreased the manual labeling workload. Established data extraction and preprocessing pipelines utilizing various technologies and ensured optimal code quality through automated testing and continuous integration practices.Software Engineer
5/31/2022 - 4/30/2023
Engaged in full-stack development for multiple sports and betting websites, utilizing various programming languages and frameworks. Successfully launched three different websites within a year, showcasing strong technical skills and project management capabilities.Research Assistant (Machine Learning)
7/31/2021 - 7/31/2022
Designed and trained neural networks for automating coffee roasting processes, allowing for precise temperature estimations without the need for manual adjustment. This project demonstrates a strong application of machine learning to improve operational efficiency.Game Developer
1/31/2019 - 4/30/2022
Led the development of a successful LGBTQ+ visual novel game, overseeing the project from a challenging initial stage to a full release, achieving significant financial success. Managed post-release support, including the creation of downloadable content and updates, greatly enhancing revenue streams through innovative tools that drastically improved development efficiency.
Information Systems at Federal Institute of Fluminense
2018 - 2022Computer Science at Federal Institute of Fluminense
2012 - 2015
Japanese Language Proficiency Test - N3 Level at The Japan Foundation
1/1/2016JavaScript Algorithms and Data Structures at freeCodeCamp
8/1/2021Responsive Web Design at freeCodeCamp
9/1/2021Foundations: Data, Data, Everywhere at Coursera
9/1/2021Microsoft Certified: Azure Fundamentals at Microsoft
10/1/2021
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