Computer Vision, PYTHON, Technology, AI-Data science, Image Video processing

image recognition , graph databases , object detection , camera calibration , Nosql, Tensorflow, Pytorch, Neo4j, Docker, Terraform, Sql, Deep Learning, Ansible, Kubernetes, Computer Vision, NGC Models, Infrastructure as Code, Multi-object Tracking Algorithms, Segmentation, CNNs, ONNX, NVIDIA Technologies, Triton Server, Vision Transformers, DeepStream, video analytics, Metropolis, TAO Toolkit

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

Version Control, Machine Learning Algorithms, Computer Vision, computational geometry, linear algebra, Writing documentation, Writing tests, Python programming language

Pytorch, Cuda, Adas, Python, sensor fusion, ML Models

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

S3, Tensorflow, Lambda, Pytorch, Ec2, Docker, Flask, Python, AWS, Gcp, Opencv, Compute Engine, FastAPI, Keras, MLflow, Cloud Run, Vertex AI, Nvidia Deepstream, Colmap, Weights Biases, Rekognition, EKS, SageMaker, DVC, ECR, Vision API, Google Cloud Storage

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