I will do computer vision and object detection with yolo
FullStack Developer AIPython Expert
About this Gig
Local GPU Computer Vision AI | OCR Object Detection Image Processing
I build computer vision AI solutions using a high-end local GPU, helping you save cloud GPU costs while getting faster training, better iterations, and private data handling.
I can help with:
- Object Detection (custom models, YOLO-based solutions)
- OCR / Document AI (invoices, receipts, forms, text extraction)
- Image Processing (OpenCV pipelines, enhancement, cleanup)
- Video Analytics (detection, tracking, counting)
- End-to-end computer vision pipelines
Tools, platforms and frameworks:
- Pytorch, Tensorflow, Keras, scikit-learn
- AWS, GCP, Azure
- Docker
- Vector DBs; Chroma. Pinecone
- Jupyter Notebook, Colab
- Databases: MySQL, MongoDB, Postgres
What youll get
- Clean Python code
- Trained models (when applicable)
- Inference scripts to run results
- Clear setup & usage instructions
- Test outputs for verification
Simple workflow
- You share requirements & data
- I confirm approach and scope
- I build, test, and deliver
- Lets discuss your use-case and Ill recommend the best package.
Programming language:
Python
•
MATLAB
•
Colab
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MLflow
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Amazon SageMaker
Frameworks:
Scikit-learn
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Google ML Kit
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SimpleCV
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PyTorch
•
Panda
My Portfolio
FAQ
What services do you provide?
I develop custom Machine Learning, Deep Learning, NLP, and Computer Vision solutions, including object detection, tracking, image segmentation, face recognition, NLP models, and automation systems. All solutions are production-ready and scalable.
Can you build custom AI models for my specific use case?
Yes. I specialize in fully customized AI solutions tailored to your business requirements, datasets, and deployment environment (cloud or edge devices).
Which programming languages and frameworks do you use?
I mainly use Python with PyTorch, TensorFlow, OpenCV, YOLO, Hugging Face, MediaPipe, TensorRT, and NVIDIA DeepStream, depending on project needs.
Do you work with real-time video and camera streams?
Absolutely. I build real-time computer vision systems for IP cameras, RTSP streams, USB/CSI cameras, and edge devices like NVIDIA Jetson and Raspberry Pi.
Can you deploy models on edge devices?
Yes. I support deployment on NVIDIA Jetson (Nano/Xavier/Orin), Raspberry Pi, OAK-D cameras, ESP32, and other embedded systems with performance optimization.

