CVML Engineer β’ Deep Learning β’ Real-Time AI Systems
Designing advanced perception & AI pipelines for vision-driven intelligence
Iβm 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.
π‘ βMy mission is to make visual data intelligent & actionable through state-of-the-art AI.β
β
Computer Vision β Object Detection, Instance Segmentation, Feature Extraction
β
Deep Learning for Vision β Vision Transformers (ViT), CNNs, multi-modal perception
β
3D Vision & Scene Understanding β Point clouds, LiDAR/RGB fusion
β
Real-Time AI Optimization β CUDA, TensorRT, ONNX for embedded devices
β
Edge AI & Deployment β NVIDIA Jetson, optimized inference pipelines
Languages: Python, C++, CUDA
Frameworks: PyTorch, TensorFlow, OpenCV, TorchVision
Optimization & Deployment: ONNX, TensorRT, NVIDIA Jetson, Docker
β
Vision Transformer-based Lane Detection
Deep transformer architecture for robust lane & road marking segmentation.
β
Real-Time Medical Image Segmentation (Edge AI)
Optimized U-Net architecture deployable on low-power edge devices for ultrasound imaging.
β
Multi-class Object Detection Pipeline
YOLOv8 & Detectron2-based detection + tracking for industrial applications.
β
High-Performance Image Stitching
Computer vision pipeline for seamless panorama generation using SIFT/ORB features.
π More CVML projects β GitHub Projects
πΌ Specialized in: Computer Vision β’ Deep Learning for Vision β’ Real-Time AI Systems
π Portfolio: javadibrahimli.github.io
πΌ LinkedIn: linkedin.com/in/cavadibrahimli
π ResearchGate: researchgate.net/profile/Javad-Ibrahimli
π§ Email: [email protected]
Iβm open to collaborations in Deep Learning for Computer Vision, Perception AI & Edge Deployment.