Aditya Pola
AWS DevOps Chef Engineer at Capital One
Minneapolis, Minnesota, United States
Summary
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RockstarAditya Pola is an AWS DevOps and Chef engineer based in Minneapolis with six years of experience automating cloud infrastructure and CI/CD for enterprises including Capital One and Target. He specializes in Chef-driven configuration, Jenkins Job-DSL, Groovy/Gradle scripting, and packaging stacks such as Java, Python, Hortonworks, RabbitMQ and MongoDB, and has used OpenStack HOT to orchestrate production components. He pairs hands-on observability work (New Relic) with test and pipeline hardening to keep large-scale deployments reliable. Unusually for an ops engineer, he contributes to ML and RL open-source projects—tuning core data-type and layer-normalization logic in ivy and improving PettingZoo’s testing and CI—bridging model development nuances into production-ready infrastructure.
6 years of coding experience
Github Skills (18)
ivy10
pytest10
python10
testing10
machine-learning10
ci-cd10
neural-network9
flake88
isort8
tensorflow28
tensorflow8
numpy8
pytorch8
converter7
reinforcement-learning7
Programming languages (4)
Github contributions (5)
Farama-Foundation/PettingZoo
Apr 2022 - Apr 2022
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:10 commits, 2 PRs in 2 days
Contributions summary:Aditya's contributions primarily focused on improving the testing infrastructure and ensuring the quality of the `pettingzoo` project. This involved resolving dependency issues related to testing tools like `pytest` and `codespell`, as well as updating the project's setup.py file to include necessary testing dependencies and configuring the CI/CD pipeline. Further contributions focused on bringing the repository up-to-date and removing testing dependencies.
agentreinforcement-learningreinforcement-learning-agentgymnasiumdeep-reinforcement-learning
ivy-llc/ivy
Aug 2022 - Dec 2022
Convert Machine Learning Code Between Frameworks
Role in this project:ML Engineer
ML EngineerContributions:16 commits, 33 PRs, 21 pushes in 4 months
Contributions summary:Aditya contributed to the `ivy-llc/ivy` repository, which focuses on converting machine learning code between frameworks. Their commits primarily involved modifications to the `data_type.py`, `data_type.py`, and `norms.py` files, indicating a focus on core functionality related to data type handling and layer normalization within the Ivy framework. Additionally, the user made updates related to the `smooth_l1_loss` function and docstring fixes, suggesting an involvement in improving the framework's capabilities and usability.
pythontensorflowframework-learningtemplatedata-science
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