EXCEEDS logo
Exceeds
Tushar Patra Jamula

PROFILE

Tushar Patra Jamula

Over four months, Tom Jamula enhanced the qualcomm-linux/meta-qcom repository by integrating the Qualcomm AI Runtime SDK and enabling Hexagon hardware acceleration, supporting efficient machine learning inference across multiple boards. He upgraded and refactored gst-plugins-imsdk, improving GStreamer pipeline stability and modularity for multimedia and AI workloads. Tom addressed build system reliability and packaging compatibility, using CMake and Python to streamline deployment and dependency management. His work included packaging architecture-specific DSP libraries and decoupling open-source and proprietary components, resulting in faster builds and clearer image composition. These contributions demonstrated depth in embedded systems, backend development, and performance optimization for Linux platforms.

Overall Statistics

Feature vs Bugs

71%Features

Repository Contributions

10Total
Bugs
2
Commits
10
Features
5
Lines of code
1,173
Activity Months4

Work History

April 2026

3 Commits • 2 Features

Apr 1, 2026

Month: 2026-04 — Delivered major Gst-plugins-imsdk upgrades and packaging refinements for qualcomm-linux/meta-qcom, focusing on stability, pipeline correctness, and modular buildability. Key improvements include decoupled base/proprietary components, expanded format support, and clearer OSS vs proprietary dependencies, enabling cleaner image composition and faster builds.

March 2026

2 Commits • 1 Features

Mar 1, 2026

March 2026: Delivered Hexagon ML acceleration enablement on iq-615-evk by packaging architecture-specific DSP libraries for QAIRT and enabling the QAIRT hexagon package in the machine configuration, enabling hardware-accelerated ML workloads and strengthening Qualcomm AI Runtime integration. This work provides a foundation for faster ML inference on iq-615-evk and improved energy efficiency.

February 2026

3 Commits • 1 Features

Feb 1, 2026

February 2026: Delivered key features and stability improvements across qualcomm-linux/meta-qcom and pytorch/executorch, focusing on packaging reliability, build compatibility, and enabling GenAI capabilities. This month’s work reduces risk in QAIRT SDK packaging, expands APIs and datatype support, and ensures forward-compatibility with updated dependencies.

January 2026

2 Commits • 1 Features

Jan 1, 2026

In January 2026, delivered end-to-end Qualcomm AI Runtime (QAIRT) integration and Hexagon support within qualcomm-linux/meta-qcom, enabling efficient ML inference across CPU, GPU, and NPU/HTP accelerators and across multiple boards. Added QAIRT recipe and Hexagon package enablement in machine configurations. This work lays the groundwork for faster model deployment via IMSDK and improves cross-device ML performance.

Activity

Loading activity data...

Quality Metrics

Correctness96.0%
Maintainability86.0%
Architecture94.0%
Performance86.0%
AI Usage40.0%

Skills & Technologies

Programming Languages

CCMakePythonShell

Technical Skills

API developmentBuild SystemsCMakeConfiguration ManagementDependency ManagementDevOpsEmbedded SystemsGStreamerHardware AccelerationLinuxLinux DevelopmentMachine LearningPythonSoftware Developmentbackend development

Repositories Contributed To

2 repos

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

qualcomm-linux/meta-qcom

Jan 2026 Apr 2026
4 Months active

Languages Used

PythonShellCCMake

Technical Skills

Configuration ManagementEmbedded SystemsMachine LearningSoftware DevelopmentAPI developmentBuild Systems

pytorch/executorch

Feb 2026 Feb 2026
1 Month active

Languages Used

CMakePython

Technical Skills

CMakeDependency ManagementPython