Mahmut Veli, Computer Vision Engineer, Deep Learning, AI, Qt, C++, QML, Python, Pytorch on www.freelancermap.com
Pytorch on www.freelancermap.com
San Francisco, CARemote OKFull-time$140k – $220k / year
About this role
Mahmut Veli, Computer Vision Engineer, Deep Learning, AI, Qt, C++, QML, Python, Pytorch on www.freelancermap.com
Computer Vision Engineer, Deep Learning, AI, Qt, C++, QML, Python, Pytorch
Istanbul, Turkey
Only remote
Master of Engineering (MEng), Control systems engineering
Istanbul, Turkey
Only remote
Master of Engineering (MEng), Control systems engineering
Profile attachments
MahmutVeli_Projects_Vision_HMIs.pdf
About me
With 12+ years of experience in Computer Vision and Software development, my expertise spans Deep Learning and AI-driven (DL/ML) solutions for Machine Vision Systems, Qt/C++/QML & Python development, and full-stack application design, delivering scalable and efficient production-grade systems.
Artificial Intelligence Computer Vision C++ (Programming Language) CMake Supervisory Control and Data Acquisition (SCADA) Python (Programming Language) OpenCV Qt Modeling Language (QML) Qt (Software) AWS CLI PyTorch Keras Scikit Learn
Hello,
With 12+ years of experience in Computer Vision and software development, I have worked with global companies to build high-performance applications. My expertise spans modern C++ development, AI-driven solutions, and full-stack application design, delivering scalable and efficient software.
✅ Computer Vision & AI Proficient in OpenCV, ONNX Runtime, TensorRT, OpenVINO, MVTec HALCON, YOLO, RF-DETR, DeepSORT, PaddleOCR, Tesseract OCR, EasyOCR, DINO, GroundingDINO, CLIP, SAM, Hugging Face Transformers, Milvus, Albumentations, Scikit-learn, and AWS SageMaker. I develop AI-driven applications for object detection, classification, segmentation, tracking, features extraction, image retrieval, and anomaly detection. I also work with ONNX to optimize AI models for deployment.
✅ 3D Point Clouds Processing Processing Point Clouds using PCL (C++) and Open3D (Python). Train custom models on spatial unorganized point clouds for 3D object detection and segmentation using PointNet++ and RandLaNet. Develop
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