I will do machine learning, deep learning, and computer vision projects
Chief Data Engineer at Optimus Automate, 3x Kaggle Expert, DS, Ai and ML Eng
About this Gig
Looking for an experienced Python AI developer to build machine learning, deep learning, or computer vision solutions? You're in the right place!
I develop custom AI applications using Python, TensorFlow, PyTorch, Scikit-learn, OpenCV, YOLOv8/YOLOv9/YOLOv10, Pandas, and NumPy. Whether you need predictive models, image classification, object detection, data analysis, or AI automation, I deliver accurate, scalable, and production-ready solutions.
Services I Offer
- Machine Learning Models (Classification, Regression, Clustering)
- Deep Learning (ANN, CNN, RNN)
- Computer Vision with OpenCV & YOLO
- Object Detection & Image Classification
- Data Preprocessing & Feature Engineering
- Model Training & Evaluation
- Streamlit AI Web Apps
- Python Source Code & Documentation
Why Choose Me?
- Clean and well-documented code
- High-quality AI solutions
- Fast communication
- On-time delivery
- 100% Client Satisfaction
Please contact me and placing your order to discuss your project requirements.
My Portfolio
FAQ
What if I don't have a dataset for my project?
No problem at all! If you don't have data, just share your project idea. I can perform web scraping, data collection, or find relevant open-source public datasets to train your custom machine learning or computer vision models.
Can you train a custom YOLO model for real-time tracking?
Yes! I specialize in custom object detection. I can train advanced models like YOLOv8, YOLOv9, or YOLOv10 on specific image/video data for automated tracking, counting, and image segmentation tasks.
Which frameworks and libraries do you use for development?
I write standard, clean Python code. For core machine learning, I use Scikit-Learn, Pandas, and XGBoost. For deep learning and neural networks, I utilize TensorFlow, Keras, PyTorch, and OpenCV.
Will I receive the complete source code and instructions?
Yes, 100%. You will get the complete, well-commented Python source code (Jupyter Notebook or executable scripts). I also provide clear documentation on how to run the pipeline on your local system or Google Colab.
Can you deploy the model or create a user interface?
Absolutely! I can build an interactive, modern web application dashboard using Streamlit or set up a FastAPI backend so you can easily test, view, and interact with your AI model in real-time.

