3d reconstruction , camera calibration , Tensorflow, Image Processing, Machine Learning, Computer Vision, Pytorch, Opencv, Python, Cuda, pcl

Tensorflow, MLops, Pytorch, Opencv, Python, SAM 3, Vision-Language Models, Multi-spectral Satellite Imaging, Foundation Models, YOLO, DINOv3, Self-Supervised Learning, DETR

object detection , Machine Learning, Pytorch, Computer Vision, Docker, Python, feature matching, instance segmentation, DVC, ONNX Runtime, MLflow

Tensorflow, Pytorch, MLops, Opencv, Python, geospatial data processing, Vision-Language Models, Multi-spectral Satellite Imaging, Foundation Models, YOLO, Self-Supervised Learning, DINOv3, SAM 3 Segment Anything Model, DETR

Computer Vision, Deep Learning, Rust, Linux, Arm, Gstreamer, Yocto, Cmake, V4L2, simd, Quantization, Bazel, OpenVINO, NEON, ONNX Runtime, NPU SDKs, TFLite, Buildroot, TensorRT

object detection , Image Processing, Deep Learning, Tensorflow, Computer Vision, Opencv, Python, image classification, applied AI development, scientific imaging, feature detection, Segmentation, image pre-processing

Computer Vision, Linux kernel, Gpu, Embedded Software Development, Python, Deep learning models, Linux-based products, TensorRT, Quantization, Edge runtimes toolchains, MPU, TFLite, ONNX Runtime, NPU, Deep learning inference, OpenVINO

Tensorflow, Pytorch, Docker, Python, MLops, Opencv, Computer Vision, annotation tools, Tracking, model training, latency, PRECISION, TensorRT, ONNX, GPU inference, recall, pose estimation, deep-learning, detection, experiment tracking, F1, Classification, video analytics, labelling quality checks, dataset preparation

Vision Systems, Pytorch, C++, Python, Deep Learning, Computer Vision, Cuda, parallel computing, anomaly detection, Liaising with cross functional teams