qualcomm-linux/meta-qcom
Jan 2026 – Mar 2026
3 Months active
Languages Used
MarkdownPythonYAMLBashCShell
Technical Skills
Build SystemsCI/CDConfiguration ManagementDevOpsEmbedded SystemsGitHub Actions
Anuj Mittal
PROFILE
Anuj Mittal
Anuj Mittal contributed to the qualcomm-linux/meta-qcom repository by delivering targeted platform and workflow improvements over three months. He enhanced build reliability and security by conditionally applying patches for GPSD and migrating source URIs to HTTPS, addressing firewall accessibility. Anuj optimized CI/CD pipelines using GitHub Actions and YAML, reducing resource usage and improving onboarding through documentation updates. He also introduced TensorFlow Lite plugin support in gst-plugins-imsdk, enabling advanced machine learning workloads on embedded systems. His work, primarily in Python, Bash, and C, focused on reproducibility, policy management, and system security, demonstrating depth in build systems and Yocto Project integration.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
14Total
Bugs
1
Commits
14
Features
5
Lines of code
15,949
Activity Months3
Your Network
226 peopleSame Organization
@oss.qualcomm.com109
Zijun HuMember
Aaradhana SahuMember
Aditya Kumar SinghMember
Akash KumarMember
Akhil P OommenMember
Aloka DixitMember
Amirreza ZarrabiMember
Andrew PinskiMember
Anjelique MelendezMember
Shared Repositories
117
Work History
March 2026
8 Commits • 3 Features
Mar 1, 2026March 2026 highlights for qualcomm-linux/meta-qcom: Delivered on-device ML enhancements and strengthened CI/CD and build stability. Implemented TensorFlow Lite plugin support in gst-plugins-imsdk enabling richer multimedia ML workloads, hardened CI/CD pipelines against supply-chain and runtime risks, and aligned OE-core compatibility to ensure stable, future-proof builds. These changes improve product value by accelerating ML-enabled media processing, reducing security risk, and improving maintainability across the Yocto-based stack.
8 Commits • 3 Features
Mar 1, 2026March 2026 highlights for qualcomm-linux/meta-qcom: Delivered on-device ML enhancements and strengthened CI/CD and build stability. Implemented TensorFlow Lite plugin support in gst-plugins-imsdk enabling richer multimedia ML workloads, hardened CI/CD pipelines against supply-chain and runtime risks, and aligned OE-core compatibility to ensure stable, future-proof builds. These changes improve product value by accelerating ML-enabled media processing, reducing security risk, and improving maintainability across the Yocto-based stack.
March 2026
February 2026
1 Commits
Feb 1, 2026February 2026 monthly summary for qualcomm-linux/meta-qcom: Delivered a targeted performance/quality improvement by pinning SRCREV for time-services to 0.1.1 to prevent unnecessary repository queries during BitBake parsing, reducing build time and network usage, and improving CI reliability and reproducibility.
February 2026
1 Commits
Feb 1, 2026February 2026 monthly summary for qualcomm-linux/meta-qcom: Delivered a targeted performance/quality improvement by pinning SRCREV for time-services to 0.1.1 to prevent unnecessary repository queries during BitBake parsing, reducing build time and network usage, and improving CI reliability and reproducibility.
January 2026
5 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for Qualcomm Linux meta-qcom: Delivered targeted platform improvements and workflow optimizations that reduce build friction, enhance security, and improve contributor experience. Focused on conditional build patches for GPSD on Qualcomm machines and transitioned the msm-gbm-backend to HTTPS to improve accessibility behind firewalls. Also invested in documentation quality and CI efficiency to accelerate onboarding and reduce resource usage.
5 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for Qualcomm Linux meta-qcom: Delivered targeted platform improvements and workflow optimizations that reduce build friction, enhance security, and improve contributor experience. Focused on conditional build patches for GPSD on Qualcomm machines and transitioned the msm-gbm-backend to HTTPS to improve accessibility behind firewalls. Also invested in documentation quality and CI efficiency to accelerate onboarding and reduce resource usage.
January 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability97.2%
Architecture98.6%
Performance97.2%
AI Usage22.8%
Skills & Technologies
Programming Languages
BashCMarkdownPythonShellYAML
Technical Skills
Build SystemsCI/CDConfiguration ManagementDevOpsEmbedded SystemsGitHub ActionsLinux DevelopmentLinux Kernel DevelopmentLinux kernel developmentMachine LearningSELinuxSecurity Best PracticesYAMLYoctoYocto Project
Repositories Contributed To
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