I will design and develop intelligent AI and Machine Learning applications using Python and modern Generative AI techniques to solve real-world business problems. My focus is on building practical, production-ready solutions rather than experimental or academic models.

I can help you create AI-powered systems for text generation, prediction, classification, and data analysis, using well-structured machine learning pipelines. This includes data preprocessing, feature engineering, model training, evaluation, and integration into real applications.

For Generative AI projects, I build LLM-based solutions, including Retrieval-Augmented Generation (RAG) pipelines, where models respond accurately using your own documents or knowledge base. These solutions can be delivered as standalone scripts, REST APIs, or full web applications.

What you will get:

Custom AI/ML models built using Python

Generative AI solutions for text-based tasks

RAG pipelines using embeddings and vector search

Clean and scalable code with proper documentation

REST APIs using Django or Flask

Integration with existing systems or web applications

Optional deployment using Docker

I follow clean coding standards and ensure that solutions are efficient, maintainable, and scalable. Communication is clear and collaborative, and I provide regular updates throughout the project.

Before starting, please share your requirements so I can understand your goals and suggest the best technical approach.