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Divyesh-Khokhar

PROFILE

Divyesh-khokhar

Divyesh K. developed robust AI service integration and pipeline management features across the ibm-mas/ansible-devops and ibm-mas/cli repositories over a two-month period. He engineered secure, maintainable configuration patterns for AI services in Maximo Manage, leveraging Ansible and YAML to automate environment variables, credentials, and health checks, thereby improving deployment readiness and reliability. In parallel, he implemented an end-to-end AI pipeline within the MAS Framework, utilizing CI/CD and Tekton to validate and execute AI-related tests. This work enhanced automation, security, and test coverage for AI features, reflecting a focus on maintainability, collaboration, and consistent integration practices within cloud-native environments.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
2
Lines of code
920
Activity Months2

Work History

January 2026

1 Commits • 1 Features

Jan 1, 2026

January 2026 monthly summary for ibm-mas/cli focused on delivering AI pipeline capabilities within the MAS Framework. Implemented an end-to-end AI pipeline to validate and execute AI-related tests, enabling safer deployment of AI features within MAS and improving testability.

December 2025

1 Commits • 1 Features

Dec 1, 2025

December 2025 (2025-12) — Delivered AI Service Configuration for Maximo Manage in ibm-mas/ansible-devops, enabling robust AI service integration through structured environment variables, credentials management, API keys, URLs, and health checks. The implementation, captured in commit 6fa6226674b056422ead1660ca4bd11b52a6ede1, adds support for configuring AI services within Maximo Manage and lays groundwork for secure, automated AI workflows. This work improves automation readiness, security posture, and reliability of AI service integrations across deployments. No major bugs fixed this month; primary focus was feature delivery, code quality, and maintainability. Impact includes faster AI feature enablement, consistent configuration patterns, and improved health monitoring across environments.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%

Skills & Technologies

Programming Languages

YAML

Technical Skills

AnsibleCI/CDCloud IntegrationDevOpsKubernetesTekton

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

ibm-mas/ansible-devops

Dec 2025 Dec 2025
1 Month active

Languages Used

YAML

Technical Skills

AnsibleCloud IntegrationDevOpsKubernetes

ibm-mas/cli

Jan 2026 Jan 2026
1 Month active

Languages Used

YAML

Technical Skills

AnsibleCI/CDDevOpsKubernetesTekton