Shukurullo M.

Computer Vision Engineer | YOLO, Lidar / Drone/UAV Image/ 3D Vision AI

I build production-ready computer vision systems for video data from camera and CCTV, image ,and dron data — from real-time object detection to large-scale image analysis pipelines. Recently, I helped improve crop yield analysis by 3× using UAV imagery and deep learning models, delivering actionable insights for real-world agricultural operations. 🎯 Computer Vision — YOLOv8/11, Faster R-CNN, U-Net, DeepLabV3+ 📍 Multi-Object Tracking — SORT, DeepSORT, ByteTrack 💬 LLM Applications — RAG, LangChain, Hugging Face, LoRA/QLoRA ⚡ Real-Time AI Deployment — OpenCV, PyTorch, TensorFlow 📈 Scalable Search — FAISS, vector DBs for face & document retrieval 🤖 LLM-Powered Telegram Bots — intelligent assistants & automation 🔥 What I can do for you: - Computer Vision (Core Expertise) Real-time object detection using YOLO (v5–v26, custom models) Multi-object tracking (MOT) for video analytics Image segmentation (U-Net, custom architectures) Action recognition & event detection (e.g., fall detection) - OCR Pipeline for Automated Optical Inspection Developed a high-accuracy OCR system to extract textual information from electronic component images, achieving 95% accuracy and significantly improving manufacturing inspection workflows. 🚁 Drone / UAV Image Analysis (Specialized) Aerial image processing & orthophoto analysis Crop health monitoring (NDVI, VARI, stress detection) Object counting, mapping, and geospatial analysis Agricultural AI solutions using multispectral imagery 🎥 Video Surveillance & Analytics & CCTV videos Smart surveillance systems (intrusion, anomaly detection, action recognition) Multi-camera tracking systems Real-time video processing pipelines 🧠 End-to-End AI Systems Data preprocessing & annotation pipelines Model training, evaluation, and optimization Error analysis (FP/FN reduction, dataset refinement) Scalable deployment on cloud (AWS, GCP, SageMaker) - Digital Image Processing with Opencv - Multimodel ( such as InternVideo) recommendation system - merlin models for ranking and recommendation - embedding extraction from Computer Vision Multi models to applying vector search system in recommendation and ranking ⚙️ Tech Stack Core: PyTorch • TensorFlow • OpenCV • Python CV Tools: YOLO • U-Net • Detectron • Roboflow • Labelstudio Cloud: AWS (S3, SageMaker) • GCP (Vertex AI) Other: Docker • Git • Rasterio • QGIS • Hugging face • ViT • 🏆 Why clients choose me: ✅ Top Rated Plus (Top 3% on Upwork) ✅ Proven results in real-world AI deployments ✅ Strong focus on business outcomes, not just models ✅ Experience with drone, agriculture, and video AI systems ✅ Clear communication & reliable delivery 🟢 Scalable, production-grade systems (millions of records, real-time pipelines) 🟢 True end-to-end delivery — strategy → data → model → deployment 🟢 On-time delivery with measurable business impact 🟢 Clear, reliable communication throughout the project 📩 Message me for a free consultation — I’ll help you outline the best technical approach for your project. If you’re looking for a Computer Vision engineer who can turn your idea into a working system.