microsoft/onnxruntime
Jun 2025 – Sep 2025
3 Months active
Languages Used
C++
Technical Skills
Deep LearningGPU ProgrammingTensorRTC++ DevelopmentCUDAC++ development
umangb-09
PROFILE
Umangb-09
Umang Bhatt contributed to the microsoft/onnxruntime and CodeLinaro/onnxruntime repositories by developing and enhancing GPU execution providers for deep learning inference. He implemented Turing architecture support and CUDA Graph integration, expanding hardware compatibility and improving throughput for repeated inferences. Umang also addressed build stability by correcting device ID handling in memory constructors, ensuring reliable deployment on NVIDIA GPUs. His work included enabling default CUDA Graphs and compute capabilities, as well as designing an API for engine compatibility validation, which improved runtime efficiency and deployment safety. Throughout, he applied C++, CUDA, and performance optimization techniques, demonstrating depth in GPU programming and API development.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
6Total
Bugs
1
Commits
6
Features
4
Lines of code
773
Activity Months4
Your Network
1414 people
Work History
January 2026
3 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for CodeLinaro/onnxruntime: Delivered two major features focused on performance and compatibility. NV TRT-RTX Execution Provider Performance Enhancements: Enabled CUDA Graph by default and set default compute capability to kCURRENT to streamline usage and boost runtime efficiency across supported GPUs. Commits: 0a93edb04f1cf2d22f153f668ec91175deb46ba4; 912f652321bae5d3ed4c5eae3aea3ed28d6c14fc. EP Context Engine Compatibility Validation API: Introduced an API to validate engine compatibility for EP Context models to ensure compiled models are compatible with current hardware. Commit: 727db0d3dc9f7dc5958891d80c1073ef7190f316. Impact: improved runtime performance, deployment safety, and robustness across CUDA-enabled GPUs. Technologies/skills demonstrated: CUDA Graphs, NVIDIA TRT-RTX provider work, API design and validation, code contribution and review.
3 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for CodeLinaro/onnxruntime: Delivered two major features focused on performance and compatibility. NV TRT-RTX Execution Provider Performance Enhancements: Enabled CUDA Graph by default and set default compute capability to kCURRENT to streamline usage and boost runtime efficiency across supported GPUs. Commits: 0a93edb04f1cf2d22f153f668ec91175deb46ba4; 912f652321bae5d3ed4c5eae3aea3ed28d6c14fc. EP Context Engine Compatibility Validation API: Introduced an API to validate engine compatibility for EP Context models to ensure compiled models are compatible with current hardware. Commit: 727db0d3dc9f7dc5958891d80c1073ef7190f316. Impact: improved runtime performance, deployment safety, and robustness across CUDA-enabled GPUs. Technologies/skills demonstrated: CUDA Graphs, NVIDIA TRT-RTX provider work, API design and validation, code contribution and review.
January 2026
September 2025
1 Commits
Sep 1, 2025September 2025 monthly summary for microsoft/onnxruntime focusing on NV TensorRT RTX Execution Provider stability. The primary accomplishment was a critical build stabilization fix that prevents a memory info constructor from mis-handling device ID types, addressing a build break and improving reliability for RTX deployments.
September 2025
1 Commits
Sep 1, 2025September 2025 monthly summary for microsoft/onnxruntime focusing on NV TensorRT RTX Execution Provider stability. The primary accomplishment was a critical build stabilization fix that prevents a memory info constructor from mis-handling device ID types, addressing a build break and improving reliability for RTX deployments.
August 2025
1 Commits • 1 Features
Aug 1, 2025Month: 2025-08 | microsoft/onnxruntime: Delivered CUDA Graph support for the NV TensorRT RTX Execution Provider to reduce kernel launch overhead and boost throughput for repeated inferences. Implemented via commit 16ae99ede405d3d6c59d7cce80c53f5f7055aeed (PR #25787).
1 Commits • 1 Features
Aug 1, 2025Month: 2025-08 | microsoft/onnxruntime: Delivered CUDA Graph support for the NV TensorRT RTX Execution Provider to reduce kernel launch overhead and boost throughput for repeated inferences. Implemented via commit 16ae99ede405d3d6c59d7cce80c53f5f7055aeed (PR #25787).
August 2025
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 Monthly Summary for microsoft/onnxruntime focusing on feature delivery and technical impact. Key outcome: Implemented Turing Architecture Support for the NV TensorRT RTX Execution Provider by setting default compute capabilities, expanding hardware compatibility and enabling efficient inference on Turing GPUs.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 Monthly Summary for microsoft/onnxruntime focusing on feature delivery and technical impact. Key outcome: Implemented Turing Architecture Support for the NV TensorRT RTX Execution Provider by setting default compute capabilities, expanding hardware compatibility and enabling efficient inference on Turing GPUs.
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Quality Metrics
Correctness93.4%
Maintainability86.6%
Architecture90.0%
Performance96.8%
AI Usage23.4%
Skills & Technologies
Programming Languages
C++
Technical Skills
API DevelopmentC++C++ DevelopmentC++ developmentCUDAConcurrencyDeep LearningError HandlingGPU ProgrammingGPU programmingPerformance OptimizationTensorRTdebuggingperformance optimizationsoftware testing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
CodeLinaro/onnxruntime
Jan 2026 – Jan 2026
1 Month active
Languages Used
C++
Technical Skills
API DevelopmentC++C++ DevelopmentC++ developmentCUDAConcurrency