I will build deep learning models for robotics using python and ai
Turning ideas into intelligent robots
About this Gig
Need AI systems that actually work in robotics, automation and real-world environments?
I develop advanced machine learning and deep learning solutions for robotics, computer vision and autonomous systems using Python.
My focus is not generic ML models I build real engineering AI systems that process sensor data, analyze visual inputs and support robotic decision-making in real applications.
I use PyTorch, TensorFlow, OpenCV and reinforcement learning to develop robust, deployment-ready AI pipelines.
What I can build for you:
- Deep learning models for robotics applications
- Computer vision (object detection, tracking, recognition, etc)
- Sensor fusion (camera, IMU, encoder data, etc.)
- Reinforcement learning for control systems
- AI-based path planning and decision systems
- Neural networks for automation
- Dataset preprocessing, training & evaluation
- Production-ready Python AI systems
I specialize in robotics-focused AI systems, not academic notebooks or simple ML scripts.
All work includes clean code, structured architecture and documentation for real-world use.
Message me before ordering to discuss your project.
Strictly no coursework, Exams
My Portfolio
FAQ
How do you deliver the neural network?
All deliveries are via Fiverr. You receive code, scripts, training examples and instructions. Ready to run in Python, MATLAB or C++.
Can the NN be deployed on a real robot?
Yes. Standard and Premium packages include deployment-ready code, optimized for real-time robotics applications.
Do I need to provide a dataset?
For Basic packages, I provide example datasets. For Standard & Premium, you can provide your dataset or I can generate sample data for simulation and training.
Do you offer live calls or consulting sessions?
No calls. All guidance is provided via Fiverr messages, including explanations, troubleshooting and additional support if needed.
Can I request revisions?
Yes. All packages include revisions to ensure the network meets your robotics task requirements.
What languages and frameworks do you use?
I use Python (PyTorch, TensorFlow, Keras) for training and scripting, including on Kaggle notebooks, C++ for real-time deployment on robots and MATLAB if required for prototyping or analysis.

