Akshaykumar Patil
Software Engineer at Tudip Technologies
India
Summary
🤩
Rockstar
Top expert inGoogle Cloud Platform Development Essentials
Akshaykumar Patil is a software engineer based in India with 8 years of hands-on experience building and refining ML-focused solutions. At Tudip Technologies he works on practical engineering problems and has contributed to GoogleCloudPlatform's training-data-analyst, improving image classification notebooks, serverless ML labs, and TensorFlow tooling. He blends applied machine learning work—especially image model tweaks and AutoML improvements—with pragmatic engineering fixes that reduce friction for learners and deployers. Known for attention to reproducibility and clear documentation, he often tackles subtle runtime and import issues that block adoption.
8 years of coding experience
Github Skills (7)
keras10
tensorflow10
trainings10
modeling10
image-classification10
gcp10
data-augmentation9
Programming languages (4)
Github contributions (5)
GoogleCloudPlatform/training-data-analyst
Jun 2020 - Dec 2022
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Role in this project:
ML Engineer
ML EngineerContributions:8 reviews, 313 commits, 124 PRs in 2 years 6 months
Contributions summary:Akshaykumar's contributions center on updating and improving image classification models within the GCP Training project. They modified the MNIST image classification notebook, adding details on a linear model and content formatting. The user also made contributions to a serverless machine learning lab by updating the import statement to resolve logging attribute errors and made improvements to an AutoML-based model, including updating image files. The user contributed to the project by adding commands for installing specific versions of TensorFlow.
gcpgoogle-cloud-platformgoogle-cloudtraining
akshaykumarpatil-tudip/terraform-lab-foundation
Sep 2022 - Nov 2022
Terraform Lab Foundation provides general building blocks for Google Cloud content authors. Samples are developed for the most common use cases when building on Google Cloud.
Contributions:6 pushes, 1 branch in 1 month
gcpcasesuse-casesbuilding-blocksgooglecloudplatform
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