Thiago Godoy
Java Backend Developer at Natixis Corporate & Investment Banking
Portugal
Summary
🤩
Rockstar🎓
Top SchoolThiago Godoy is a Java backend developer with four years of professional experience building and modernizing enterprise services across banking, fintech, and startup environments. He specializes in Spring Boot microservices, Kafka-driven event architectures, Docker migrations and improving legacy systems’ stability and test coverage using Mockito, SonarQube and CI/CD practices. A pragmatic problem-solver, he has hands-on experience refactoring WebLogic/JBoss apps to cloud-ready stacks and tuning PL/SQL routines and ETL flows for performance. Thiago also contributes to open-source UI work—improving the Determined AI web interface—showing an uncommon blend of backend systems expertise and front-end attention to UX. Based in Portugal, he pairs curiosity-driven learning with a track record of shipping reliable, well-tested features in production.
3 years of coding experience
11 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Universidade Paulista
Portuguese, English
Github Skills (11)
webui10
typescript10
javascript10
typescripts10
react10
typescript-types10
python8
data-science7
deeplearning-ai7
deep-learning7
mlops7
Programming languages (2)
Github contributions (2)
determined-ai/determined
May 2022 - Jan 2023
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:11 reviews, 93 commits, 7 PRs in 8 months
Contributions summary:Thiago's commits primarily focused on enhancing the web UI of the Determined AI platform. They implemented features such as adding spinners and skeleton components to improve data fetching feedback, refactoring the code viewer with file sorting and Jupyter Notebook support, and added features for managing experiment configurations. They also addressed minor UI/UX improvements like adjusting and adding UI elements for the inline editor and sidebar, with various bug fixes.
pytorchdata-sciencedeep-learningdistributed-trainingmachine-learning
thiagodallacqua-hpe/determined
Jun 2022 - Jul 2022
Determined: Deep Learning Training Platform
Contributions:16 pushes, 6 branches in 1 month
pytorchmxnetdeep-learningmachine-learningtraining
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