Experienced Data Scientist and AI Specialist with expertise in machine learning, natural language processing, data analysis, feature engineering, visualization, deep learning algorithms, and generative AI using large language models (LLMs). Skilled in RAG (Retrieval-Augmented Generation) and Agent AI workflows (LangGraph, Autogen). Proven ability to develop and deploy advanced AI systems, driving innovation through strategic and data-driven approaches. Proficient in Python with hands-on experience in generative AI models and a deep understanding of advanced deep learning techniques. Strong expertise in Langchain, prompt engineering, Ollama and model evaluation & optimization, including fine-tuning hyperparameters, evaluating LLM zero-shot and few-shot capabilities, and enhancing task generalization and model interpretability for robust web app integration. Hands on experience with Agent AI workflows including LangGraph, Autogen and Response Quality. Familiar with Azure and AWS. Adept at collaborating with machine learning and integration engineers to maximize LLM performance, delivering high-quality, contextually appropriate responses in user-centric web applications. Solid foundation in software engineering principles, data structures, algorithms, and both relational (RDBMS) and NoSQL databases, including vector databases and embeddings. Skilled in working with leading AI/ML frameworks and libraries, including Hugging Face, TensorFlow, Keras, PyTorch, and Spark, Image to text using OCR and OpenCV. Experienced in data modeling, performance tuning, reinforcement learning from human feedback (RLHF), and optimizing ML/NLP models. Proficient in building APIs for backend operations and creating interactive front-end tools using Gradio UI and Streamlit. Passionate about leveraging cutting-edge AI/ML technologies, with a particular focus on LLMs and their transformative applications in various domains along with dockerization.