GoogleCloudPlatform/ai-on-gke
Feb 2025 – Feb 2025
1 Month active
Languages Used
BashMarkdownPythonYAML
Technical Skills
Cloud ComputingDevOpsDrug DiscoveryGKEInfrastructure as CodeKubernetes
Sujit Khasnis
PROFILE
Sujit Khasnis
In February 2025, Sujit Ukil developed a GKE Deployment Blueprint for NVIDIA NIM Services within the GoogleCloudPlatform/ai-on-gke repository, targeting generative virtual screening in drug discovery. He architected a reproducible infrastructure using Kubernetes and Infrastructure as Code principles, enabling automated provisioning and deployment of AlphaFold2, MolMIM, and DiffDock NIMs on Google Kubernetes Engine. The blueprint integrated end-to-end testing of generative virtual screening pipelines, supporting rapid prototyping and scalable experimentation. Sujit documented deployment and usage procedures in Markdown and YAML, ensuring clarity and repeatability. His work addressed reproducibility and scalability challenges in AI-driven drug discovery workflows using cloud-native tools.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
538
Activity Months1
Your Network
36 people
Work History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025: Delivered a GKE Deployment Blueprint for NVIDIA NIM Services enabling generative virtual screening, establishing a repeatable path to provision and deploy AI-driven drug discovery workflows on Google Kubernetes Engine. The blueprint includes cluster setup, configuration, and deployment of AlphaFold2, MolMIM, and DiffDock NIMs, with integrated testing of end-to-end generative virtual screening pipelines. This work enhances reproducibility, scalability, and time-to-value for NIM-based drug discovery experiments, paving the way for rapid prototyping in production environments.
1 Commits • 1 Features
Feb 1, 2025February 2025: Delivered a GKE Deployment Blueprint for NVIDIA NIM Services enabling generative virtual screening, establishing a repeatable path to provision and deploy AI-driven drug discovery workflows on Google Kubernetes Engine. The blueprint includes cluster setup, configuration, and deployment of AlphaFold2, MolMIM, and DiffDock NIMs, with integrated testing of end-to-end generative virtual screening pipelines. This work enhances reproducibility, scalability, and time-to-value for NIM-based drug discovery experiments, paving the way for rapid prototyping in production environments.
February 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashMarkdownPythonYAML
Technical Skills
Cloud ComputingDevOpsDrug DiscoveryGKEInfrastructure as CodeKubernetesNVIDIA NIM
Repositories Contributed To
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