Opencv GSOC 2026
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Purushottam Jha
Feb 10, 2026, 5:45:12 AM (10 days ago) Feb 10
to opencv-gsoc-202x
Hii Guys,
This is Purushottam Jha final year student and passionate Robotics Engineer,
I have hands-on experience in building and deploying real-time Computer Vision pipelines using OpenCV, NVIDIA DeepStream, TensorRT, and Docker. I have worked with Ultralytics-based Docker environments, explored their deployment workflows, and contributed to open-source projects through debugging, testing, and improving existing pipelines. I also have experience creating my own custom Docker images for GPU-based inference setups, ensuring reproducibility across systems with CUDA, TensorRT, and OpenCV dependencies.
My work includes optimizing deep learning models using FP16/INT8 acceleration, converting models into TensorRT engines, and integrating them into DeepStream/GStreamer multi-stream video analytics pipelines. Along with this, I am comfortable with Linux-based development, performance benchmarking, and edge deployment. I am highly motivated to contribute to OpenCV GSoC, and I am ready to work on the idea: Expanding kornia-vlm with ONNX and TensorRT backends for efficient, production-ready inference.
This is Purushottam Jha final year student and passionate Robotics Engineer,
I have hands-on experience in building and deploying real-time Computer Vision pipelines using OpenCV, NVIDIA DeepStream, TensorRT, and Docker. I have worked with Ultralytics-based Docker environments, explored their deployment workflows, and contributed to open-source projects through debugging, testing, and improving existing pipelines. I also have experience creating my own custom Docker images for GPU-based inference setups, ensuring reproducibility across systems with CUDA, TensorRT, and OpenCV dependencies.
My work includes optimizing deep learning models using FP16/INT8 acceleration, converting models into TensorRT engines, and integrating them into DeepStream/GStreamer multi-stream video analytics pipelines. Along with this, I am comfortable with Linux-based development, performance benchmarking, and edge deployment. I am highly motivated to contribute to OpenCV GSoC, and I am ready to work on the idea: Expanding kornia-vlm with ONNX and TensorRT backends for efficient, production-ready inference.
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