AI Developer focused on practical machine learning, RAG systems, agentic workflows, and production-ready AI applications.
I build small, useful AI products that connect models with real business workflows: forecasting, anomaly detection, support automation, medical chatbot prototypes, and intelligent assistants.
- Retrieval-Augmented Generation and knowledge assistants
- Agentic AI workflows and automation
- Fine-tuning and applied machine learning experiments
- Python, LLM apps, microservices, and data-driven prototypes
- Turning AI demos into deployable products
- ainexus-ai-projects - AI/ML microservices for anomaly detection, sentiment analysis, inventory forecasting, and real estate intelligence.
- mm-machinelearning - Applied machine learning experiments and Python workflows for practical AI projects.
- iamedical_chatbot - Medical AI chatbot prototype built around LLM workflows for health-oriented question answering.
- medical_chatbot - Core medical chatbot implementation and experiments for LLM-powered assistance.
Python Machine Learning LLMs RAG Agents FastAPI Streamlit Docker JavaScript HTML
I am sharpening a portfolio of applied AI projects with clear demos, cleaner documentation, and production-minded architecture.
