
Saurabh Khatri developed automation and workflow enhancements across several Tenstorrent repositories, focusing on issue tracking, project management, and documentation quality. In tenstorrent/tt-mlir and related repos, he built GitHub Actions workflows using Python, Bash, and GraphQL to automate project date tracking, synchronize issue states, and improve CI reliability. His work included robust authentication, scalable pagination, and error handling for large projects, reducing manual maintenance and improving traceability. Saurabh also delivered Google Apps Script integrations for data visualization in tenstorrent/tt-forge and led documentation and branding updates, demonstrating depth in CI/CD, API integration, and technical writing for maintainable engineering solutions.
February 2026 focused on documentation quality and integration strategy across two repos. In tenstorrent/tt-forge-fe, delivered branding alignment and readability improvements to docs, including updating the title to tt-forge-onnx and fixes for typos, step numbering, and code examples. In tenstorrent/tt-forge, completed the TT-XLA PyTorch integration migration by removing deprecated tt-torch references and assets and updating benchmarks/README to steer users toward TT-XLA. These changes reduce user confusion, accelerate onboarding, and lower maintenance costs while preserving existing functionality.
February 2026 focused on documentation quality and integration strategy across two repos. In tenstorrent/tt-forge-fe, delivered branding alignment and readability improvements to docs, including updating the title to tt-forge-onnx and fixes for typos, step numbering, and code examples. In tenstorrent/tt-forge, completed the TT-XLA PyTorch integration migration by removing deprecated tt-torch references and assets and updating benchmarks/README to steer users toward TT-XLA. These changes reduce user confusion, accelerate onboarding, and lower maintenance costs while preserving existing functionality.
December 2025 monthly summary for tenstorrent/tt-forge-fe: Delivered a Performance Benchmark Documentation Enhancement to improve readability and usability of performance benchmarking content. Updated perf.md table formatting and ensured alignment with related tickets (#3093, #3094), enabling faster onboarding and reducing user friction for benchmarking workflows.
December 2025 monthly summary for tenstorrent/tt-forge-fe: Delivered a Performance Benchmark Documentation Enhancement to improve readability and usability of performance benchmarking content. Updated perf.md table formatting and ensured alignment with related tickets (#3093, #3094), enabling faster onboarding and reducing user friction for benchmarking workflows.
Delivered TT-Forge Google Sheets integration for issue tracking and milestones. Automated synchronization fetches qualifying TT-Forge issues based on labels and custom fields and updates two Google Sheets: Detailed Issue Tracking and Key Milestones. Included setup instructions, usage guidelines, and implementation details to enable quick adoption across teams.
Delivered TT-Forge Google Sheets integration for issue tracking and milestones. Automated synchronization fetches qualifying TT-Forge issues based on labels and custom fields and updates two Google Sheets: Detailed Issue Tracking and Key Milestones. Included setup instructions, usage guidelines, and implementation details to enable quick adoption across teams.
In August 2025, delivered Automated Issue Work Started Date Tracking for tenstorrent/tt-mlir via a GitHub Actions workflow. The feature automatically updates the Work Started date when issues transition to In Progress, improving timestamp accuracy and scheduling, consolidating multiple commits into a single feature, and enhancing issue lifecycle visibility. The rollout included tests for timestamp extraction and cron schedule refinements (30-minute intervals, timezone alignment) to improve reliability and traceability.
In August 2025, delivered Automated Issue Work Started Date Tracking for tenstorrent/tt-mlir via a GitHub Actions workflow. The feature automatically updates the Work Started date when issues transition to In Progress, improving timestamp accuracy and scheduling, consolidating multiple commits into a single feature, and enhancing issue lifecycle visibility. The rollout included tests for timestamp extraction and cron schedule refinements (30-minute intervals, timezone alignment) to improve reliability and traceability.
July 2025: Implemented automated project date tracking across three repositories to improve project activity visibility and governance. Introduced GitHub Actions workflows that automatically update the last-updated timestamp in response to issue updates and comments, reusing a shared action from the tt-forge ecosystem to ensure consistency and reduce duplication. This automation minimizes manual maintenance, accelerates status reporting, and provides stakeholders with real-time insight into activity and workload. No major bugs fixed this month.
July 2025: Implemented automated project date tracking across three repositories to improve project activity visibility and governance. Introduced GitHub Actions workflows that automatically update the last-updated timestamp in response to issue updates and comments, reusing a shared action from the tt-forge ecosystem to ensure consistency and reduce duplication. This automation minimizes manual maintenance, accelerates status reporting, and provides stakeholders with real-time insight into activity and workload. No major bugs fixed this month.
June 2025 monthly summary for tenstorrent/tt-mlir: Delivered two core improvements that enhance CI reliability, cross-repo item updates, and the scalability of GitHub project item lookups. Focused on robust authentication and token management for workflows, plus scalable pagination and error resilience in GraphQL-based queries. These changes reduce failure modes, enable updates across multiple repositories, and support large projects (>100 items), delivering tangible business value and a smoother developer experience.
June 2025 monthly summary for tenstorrent/tt-mlir: Delivered two core improvements that enhance CI reliability, cross-repo item updates, and the scalability of GitHub project item lookups. Focused on robust authentication and token management for workflows, plus scalable pagination and error resilience in GraphQL-based queries. These changes reduce failure modes, enable updates across multiple repositories, and support large projects (>100 items), delivering tangible business value and a smoother developer experience.
May 2025: Focused on stabilizing CI automation and enhancing project-tracking automation for tenstorrent/tt-mlir. Delivered a critical authentication token update in GitHub Actions to ensure API access and automatic project field updates in response to issue activity; reduced manual intervention and improved workflow reliability.
May 2025: Focused on stabilizing CI automation and enhancing project-tracking automation for tenstorrent/tt-mlir. Delivered a critical authentication token update in GitHub Actions to ensure API access and automatic project field updates in response to issue activity; reduced manual intervention and improved workflow reliability.
April 2025 — Tenstorrent tt-mlir monthly summary focusing on business value and technical accomplishments. Key feature delivered: Enhanced Issue Activity Update Triggers that broaden last-updated workflow triggers for issues and issue comments, enabling more accurate tracking and automation. Major bugs fixed: none recorded for this month in the provided data; the focus was on feature enhancement and reliability of activity signals. Overall impact: improved issue analytics, triage efficiency, and automation readiness, contributing to faster response times and better SLA adherence. Technologies/skills demonstrated: event-driven workflow design, expanded trigger coverage, maintainable changes with clear commit ownership, cross-repo collaboration in tt-mlir.
April 2025 — Tenstorrent tt-mlir monthly summary focusing on business value and technical accomplishments. Key feature delivered: Enhanced Issue Activity Update Triggers that broaden last-updated workflow triggers for issues and issue comments, enabling more accurate tracking and automation. Major bugs fixed: none recorded for this month in the provided data; the focus was on feature enhancement and reliability of activity signals. Overall impact: improved issue analytics, triage efficiency, and automation readiness, contributing to faster response times and better SLA adherence. Technologies/skills demonstrated: event-driven workflow design, expanded trigger coverage, maintainable changes with clear commit ownership, cross-repo collaboration in tt-mlir.

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