I will build a computer vision or deep learning prototype in python with pytorch
About this Gig
Need a working AI prototype not slides, not a tutorial copy-paste? I'm a Master's student in Artificial Intelligence with 3+ years of software engineering experience, and I build custom computer vision and deep learning prototypes in Python.
What I can build:
- Image classification and object detection models (PyTorch/TensorFlow, YOLO, and similar)
- Custom model training and fine-tuning on your dataset
- Image and signal processing pipelines (OpenCV, NumPy)
- 3D reconstruction and visualization prototypes
- Clean, documented code you can extend
How we work:
1. You describe the problem and share sample data
2. I confirm feasibility honestly if your data can't support the goal, I'll tell you before you pay
3. I build, evaluate, and deliver the prototype with documentation and a walkthrough
You get: trained model files, full source code, a short performance report, and guidance on next steps toward production.
Message me with your idea and a few sample images or data files I'll give you an honest assessment and a plan.
APIs:
Amazon Rekognition
•
Google Cloud Vision API
Programming language:
Python
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
My Portfolio
FAQ
What data do you need from me?
Sample images or data files representative of the real problem, plus a clear description of what the model should do. More (and more varied) data means better results.
Can you guarantee a certain accuracy?
No honest engineer can guarantee accuracy before seeing the data. I'll evaluate feasibility upfront and report real measured performance - no inflated numbers.
Which frameworks do you use?
Primarily PyTorch and TensorFlow, with OpenCV and NumPy for processing pipelines.
Do I own the model and code?
Yes. All trained weights, source code, and documentation are yours.
Can you deploy the model to production?
The Premium tier includes deployment guidance. Full production deployment can be quoted as a custom order.
Will you sign an NDA?
Yes, happy to sign an NDA before you share sensitive data.

