I'm an AI/ML Engineer and Data Scientist with 4+ years of experience building intelligent, data-driven solutions for financial services and enterprise applications. My expertise includes machine learning, deep learning, natural language processing (NLP), Generative AI, predictive analytics, and MLOps. I have developed production-ready models for fraud detection, credit risk assessment, recommendation systems, customer segmentation, time-series forecasting, and sentiment analysis using Python, PyTorch, TensorFlow, Scikit-learn, XGBoost, and Hugging Face Transformers. I also have hands-on experience with modern Generative AI technologies, including GPT-4, LangChain, Retrieval-Augmented Generation (RAG), prompt engineering, semantic search, and LLM-powered applications. My cloud and deployment experience includes AWS, Docker, MLflow, REST APIs, and end-to-end machine learning pipelines that enable scalable, reliable AI solutions. What sets me apart is my ability to bridge the gap between business needs and technical implementation. I focus on building accurate, scalable, and production-ready AI systems while communicating clearly with stakeholders throughout the project lifecycle. Whether it's developing predictive models, automating workflows, or integrating LLM-based solutions, I am committed to delivering high-quality results that create measurable business value.…I'm an AI/ML Engineer and Data Scientist with 4+ years of experience building intelligent, data-driven solutions for financial services and enterprise applications. My expertise includes machine learning, deep learning, natural language processing (NLP), Generative AI, predictive analytics, and MLOps. I have developed production-ready models for fraud detection, credit risk assessment, recommendation systems, customer segmentation, time-series forecasting, and sentiment analysis using Python, PyTorch, TensorFlow, Scikit-learn, XGBoost, and Hugging Face Transformers. I also have hands-on experience with modern Generative AI technologies, including GPT-4, LangChain, Retrieval-Augmented Generation (RAG), prompt engineering, semantic search, and LLM-powered applications. My cloud and deployment experience includes AWS, Docker, MLflow, REST APIs, and end-to-end machine learning pipelines that enable scalable, reliable AI solutions. What sets me apart is my ability to bridge the gap between business needs and technical implementation. I focus on building accurate, scalable, and production-ready AI systems while communicating clearly with stakeholders throughout the project lifecycle. Whether it's developing predictive models, automating workflows, or integrating LLM-based solutions, I am committed to delivering high-quality results that create measurable business value.WWWW…