CVML Engineer • Deep Learning • Real-Time AI Systems
Designing advanced perception & AI pipelines for vision-driven intelligence
I’m Javad Ibrahimli, a Computer Vision & Machine Learning Engineer (CVML) building AI-powered perception systems for industries like autonomous driving, medical imaging, and advanced analytics.
I specialize in real-time vision & deep learning pipelines, combining 2D & 3D visual data with advanced ML architectures to deliver accurate, scalable, and deployment-ready solutions.
💡 “My mission is to make visual data intelligent & actionable through state-of-the-art AI.”
✅ Computer Vision – Object Detection, Instance Segmentation, Feature Extraction
✅ Deep Learning for Vision – Vision Transformers (ViT), CNNs, multi-modal perception
✅ 3D Vision & Scene Understanding – Point clouds, LiDAR/RGB fusion
✅ Real-Time AI Optimization – CUDA, TensorRT, ONNX for embedded devices
✅ Edge AI & Deployment – NVIDIA Jetson, optimized inference pipelines
Languages: Python, C++, CUDA
Frameworks: PyTorch, TensorFlow, OpenCV, TorchVision
Optimization & Deployment: ONNX, TensorRT, NVIDIA Jetson, Docker
✅ Vision Transformer-based Lane Detection
Deep transformer architecture for robust lane & road marking segmentation.
✅ Real-Time Medical Image Segmentation (Edge AI)
Optimized U-Net architecture deployable on low-power edge devices for ultrasound imaging.
✅ Multi-class Object Detection Pipeline
YOLOv8 & Detectron2-based detection + tracking for industrial applications.
✅ High-Performance Image Stitching
Computer vision pipeline for seamless panorama generation using SIFT/ORB features.
🔗 More CVML projects → GitHub Projects
💼 Specialized in: Computer Vision • Deep Learning for Vision • Real-Time AI Systems
🌐 Portfolio: javadibrahimli.github.io
💼 LinkedIn: linkedin.com/in/cavadibrahimli
📄 ResearchGate: researchgate.net/profile/Javad-Ibrahimli
📧 Email: [email protected]
I’m open to collaborations in Deep Learning for Computer Vision, Perception AI & Edge Deployment.



