object detection , Deep Learning, Tensorflow, Git, Pytorch, MLops, Opencv, Image Processing, Keras, Python, Computer Vision, Performance Optimization, Transfer Learning, image segmentation, Model Fine-Tuning, ML Model Evaluation, Image Classification

Deep Learning, Computer Vision, Cpp, Medical Imaging

probability , ROS, Opencv, Python, Ceres, mathematics, perception pipelines, SLAM algorithms, offline processing, large log analysis, Optimization, metrics generation, geometry, GTSAM, linear algebra, sensor calibration

Tensorflow, Pytorch, Opencv, Python, Computer Vision, Cuda, Deep Learning, ML Pipelines, TensorRT, 3D Perception

Computer Vision, Ocr, information extraction, document reading, damage detection, label understanding, geometric vision

Cmmi, Aspice, configuration management, Version Control, Uml Tools, image processing and imaging algorithms, static code check tools, Signal Processing, semantic segmentation using Mask-RCNN ResNet, SLAM, Deep learning based algorithm development, object detection using Yolo SSD, PTC MKS

Computer Vision, Pytorch, Cuda, FastAPI, Deep Learning, Python, Opencv, Nvidia Triton, Ray, HuggingFace, TensorRT

Tensorflow, Machine Learning, Pytorch, Docker, Image Processing, Python, Kubernetes, Computer Vision, Kubeflow, Cloud ML platforms, MLflow

object detection , Computer Vision, Tensorflow, Deep Learning, Opencv, Pytorch, Python, Gstreamer, RGB cameras, Nvidia Jetson, Qualcomm RB5, Semantic segmentation, sensor fusion, Depth ToF sensors, IR range sensors, Image classification