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 , Pytorch, Linux, Python, Epipolar geometry, Camera models and parameters, Region proposal networks, Classical vision

test suites , online learning , Python, evaluation methodologies for LLMs and agents, feedback loops, reinforcement learning, modern ML tooling, Simulators, evaluation frameworks, benchmarks, preference optimization, agent architectures

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, Git, Pytorch, Opencv, Azure, Python, Computer Vision, Detectron2, YOLO

object detection , Tensorflow, Pytorch, Opencv, NVIDIA Jetson, TensorRT, ONNX, scene understanding, video analysis, Edge AI optimisation

Tensorflow, Pytorch, Opencv, Unity, Python, AR Foundation, ARKit, ARCore

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

object tracking , object detection , AWS, Pytorch, Python, Tensorflow, Docker, Opencv, MLFlow