AI Engineer with hands-on experience in LLM-based systems, RAG pipelines, and multi-agent architectures. Worked on intelligent applications including enterprise chatbots, automated vulnerability analysis, and deep learning-based medical imaging systems. Skilled in Deep Learning, Transformers, and model optimization, with experience building backend APIs using FastAPI.
Role-based RAG chatbot for enterprise knowledge retrieval, enabling employees to query internal documents and HR data through natural language with department-scoped access control. Includes hybrid BM25 + semantic retrieval, cross-encoder reranking, LLM-based query routing, PII guardrails, and hallucination detection.
AI-powered bus ticket booking system with a natural language assistant for route search, booking, and fare queries. Built using a RAG pipeline with LangChain, ChromaDB, and Google Gemini, with FastAPI, SQLite, and Docker for application flow and booking management.
End-to-end MRI brain tumor classification pipeline starting from a custom CNN baseline and progressively improving performance using transfer learning with MobileNetV2 and EfficientNet. Includes Optuna-based hyperparameter tuning, MLflow + DagsHub experiment tracking, Grad-CAM explainability, and ONNX INT8 optimization.
Open to AI engineering roles, research collaborations, and meaningful real-world AI problems.