Timothy Tucker
Sr. Support Engineer at Determined AI
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolTimothy Tucker is a Sr. Support Engineer in San Jose with nine years of hands-on experience rooting and resolving complex issues across Linux environments, distributed systems, and network stacks. He blends low-level debugging skills in C/C++ and GDB with pragmatic scripting in Python, Bash, and Perl to automate workflows and recover large clusters. At Determined AI he contributed to a prominent open-source ML platform, improving AWS deployments and auth flows, and at Xcalar optimized distributed in-memory data pipelines using profiling and gRPC. Known for strong customer empathy, he thrives in terminal-driven, Vim-centric workflows and is comfortable digging into both front-end and back-end web issues. His background spans SRE, support, and pre-sales engineering, giving him a rare mix of production troubleshooting, performance analysis, and customer-facing communication.
9 years of coding experience
9 years of employment as a software developer
Penn State University
English
Github Skills (13)
aws10
devops10
python10
cicd9
kubernetes-pods9
mlops9
kubernetes9
distributed-training8
machine-learning8
tensorflow7
api-design7
pytorch7
api7
Programming languages (8)
Github contributions (5)
determined-ai/determined
Jun 2021 - 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:
DevOps & Backend Engineer
DevOps & Backend EngineerContributions:134 reviews, 45 commits, 115 PRs in 1 year 7 months
Contributions summary:Timothy primarily contributed to the Determined AI platform by fixing bugs and improving the deployment and user management aspects of the system. They addressed issues in the AWS deployment process, ensuring consistent stack states and improving messaging. Additionally, they worked on user authentication and authorization, clarifying forbidden vs. unauthenticated states. The user also made updates to improve testing and documentation, ensuring the project's reliability.
pytorchdata-sciencedeep-learningdistributed-trainingmachine-learning
varlogtim/determined
Jun 2021 - Jul 2024
Determined: Deep Learning Training Platform
Contributions:200 pushes, 51 branches in 3 years 1 month
pytorchcaffe2deep-learningmachine-learningtraining
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