I will computer vision system using yolo opencv pytorch
AI ML Engineer , Python Developer , Web Development , Data Scraping
About this Gig
I am a Senior AI & Software Engineer with 5+ years of industry experience designing and deploying scalable computer vision systems for surveillance, smart city infrastructure and enterprise automation. I have built production solutions capable of handling millions of records and real-time video processing pipelines
My Computer Vision Services include
- Custom object detection models using YOLOv5 / YOLOv8
- Face detection & large-scale face recognition systems
- OCR solutions includg anumber plate recognition (ANPR)
- Real-time video analytics & tracking pipelines
- Image classification & segmentation models
- Model optimization (TensorRT / ONNX / quantization)
- Edge deployment & GPU inference optimization
- REST API integration using FastAPI / Flask
- Scalable deployment using Docker & Kubernetes
Use Cases I can help with
- Smart surveillance & security monitoring
- Traffic monitoring & intelligent transport systems
- Retail customer analytics
- Industrial automation & defect detection
- AI startups building vision-based SaaS
- Academic and research CV projects
⭐Why choose me
- Real production deployment experience
- Clean modular Python architecture
- Performance-optimized inference pipelines
- Clear communication
APIs:
Microsoft Computer Vision AI
•
Google Cloud Vision API
Programming language:
Python
•
SQL
•
NoSQL
•
MLflow
Tools:
OpenCV
•
TensorFlow
•
Excel
•
MLflow
•
PyTorch
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
FAQ
Can model run on GPU server?
Yes optimized inference supported
Can you train custom dataset?
Yes annotation guidance included
