I provide AI & Machine Learning services to help businesses automate tasks, gain insights from data, and integrate intelligent features into their products.

What I deliver:
• LLM integration: OpenAI, Anthropic, or open-source models in your app
• RAG systems: chatbots and assistants grounded on your documents/data
• Custom ML models: classification, prediction, recommendation, anomaly detection
• NLP: text analysis, summarization, sentiment, entity extraction
• Computer vision: image classification, object detection (when applicable)
• MLOps basics: model deployment, API endpoints, monitoring, retraining workflows

Typical projects:
• Add an AI assistant to an existing web or mobile app
• Build a document Q&A system for internal knowledge bases
• Create recommendation or forecasting models from business data
• Automate repetitive workflows with AI (support, content, data entry)
• POC/MVP to validate an AI idea before full product build

Process: discovery → data/requirements review → prototype or POC → development → testing → deployment & documentation. Optional ongoing support and model improvements.

Stack: Python, PyTorch/TensorFlow, OpenAI API, LangChain, FastAPI, vector DBs (Pinecone/Weaviate), cloud deployment