I will develop a deep learning model for image classification and recognition
Software Engineer, AI, ML, Generative AI, Computer vision
Acerca de este Servicio
Are you struggling to turn raw data into a working AI model you can actually use and ship?
Whether you need a predictive ML pipeline, a deep learning system, or a computer vision solution, I build models that go beyond a notebook all the way to a deployed, working API. My $90 basic package includes a full end-to-end prototype, not just a script
What I can build for you:
Machine learning models (classification, regression, clustering, forecasting)
Deep learning with TensorFlow, PyTorch, and Keras
Computer vision: object detection (YOLO), image classification, segmentation
Custom model training on your own dataset
REST API deployment with Flask or FastAPI
Docker-ready containers for production use
My tech stack:
Python | OpenCV | Scikit-learn | TensorFlow | PyTorch | FastAPI | Docker
What you receive:
Clean, well-commented Python code
Trained model files ready for inference
Evaluation report with accuracy metrics
Deployment-ready API endpoint
Full documentation
Why work with me:
Every project includes clear documentation and a working solution.
Message me before ordering so I can confirm this is the right fit for your project.
Lenguaje de programación:
Python
•
SQL
•
Colab
•
Java
•
MLflow
Marcos:
Scikit-learn
•
Google ML Kit
•
keras
•
PyTorch
•
Panda
•
TensorFlow
Mi porfolio
FAQ
What information do you need to get started?
I need to know your goal (what you want the model to do), your dataset or a description of the data you have, and your expected output. The more context you share upfront, the faster I can deliver accurate results. Feel free to message me before ordering.
Do you work with custom or private datasets?
Yes. I work with your own data — images, CSV files, JSON, or any standard format. All data you share is kept confidential and used only for your project. I do not share or reuse client data.
What if I don't have a dataset?
I can work with publicly available datasets or help you identify suitable ones for your use case. For some projects, I can also work with small datasets using transfer learning or data augmentation techniques to maximize performance.
Will the model be ready to use or just a notebook?
Depending on your package, I deliver either clean Python code with a saved model file, or a fully deployed REST API using FastAPI or Flask — so your model is ready to integrate or call from your app immediately. No dead notebooks.

