Retinderdeep Singh_9252

Computer Vision & AI Systems Engineer

Talent

All IndiaMember since 18 June 2026

PythonPyTorchTensorFlowKerasOpenCVOpen3DGitImage classificationObject detectionSemantic segmentationInstance-level analysisROI extractionTracking logicReal-time camera-based inferenceVideo/frame processingCamera input handlingLive feedback systemsONNXTensorRTQuantizationGPU/edge inferenceReproducibilityModel benchmarkingPipeline automationModular code designPrototype developmentAI application deploymentJavaScriptHTMLCSS

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PythonPyTorchTensorFlowKerasOpenCV

About

Computer Vision and AI Engineer with experience building real-time vision systems, sensor-driven AI pipelines, and deployable deep learning applications using PyTorch, TensorFlow, OpenCV, ONNX, and TensorRT. Skilled in designing end-to-end workflows from data capture and preprocessing to model inference, optimization, and actionable output. Experienced in image segmentation, object detection, real-time camera-based applications, edge/GPU deployment, and research-to-product translation.

Strong background in building prototypes independently, optimizing models for real-world environments, and working across computer vision, full-stack integration, and applied AI systems.

Experience

Junior Research Fellow - Chitkara University - Rajpura, Punjab

(2025-07)

Designed and implemented real-time computer vision pipelines using PyTorch, TensorFlow, OpenCV, and edge/GPU optimization techniques.
Built end-to-end AI workflows covering data acquisition, preprocessing, model training, evaluation, inference, and deployment.
Developed segmentation and detection systems for medical and real-world visual analysis tasks using CNN, Transformer, and ensemble architectures.
Optimized deep learning models using ONNX, TensorRT, quantization, and GPU acceleration for faster inference.
Collaborated across research, engineering, and application teams to convert experimental AI models into deployable prototypes.

Research Assistant - Chitkara University - Rajpura, Punjab

(2023-07 - 2025-07)

Built and tested computer vision pipelines for classification, segmentation, and real-time image analysis.
Developed camera-based AI prototypes using OpenCV and deep learning models for live inference.
Worked on explainable AI, model benchmarking, reproducibility, and performance validation.
Published applied AI research in IEEE Access, Scientific Reports, and other indexed venues.
Presented technical work to academic and cross-functional audiences, strengthening technical communication and product explanation skills.