I am an AI/ML Engineer with around five years of experience designing, developing, and deploying production Machine Learning and Generative AI systems across financial services and intelligence-driven applications. I specialize in LLMs, Retrieval-Augmented Generation (RAG), Deep Learning, NLP, fraud detection, and Agentic AI using Python, PyTorch, TensorFlow, SQL, Spark, AWS, and Docker. I have built end-to-end AI solutions spanning data engineering, model development, LLM fine-tuning, vector search, evaluation frameworks, and inference systems using LangChain, LangGraph, Hugging Face Transformers, and modern LLMOps practices.
I have delivered platforms and solutions in fast-paced financial services environments, collaborating with analysts and engineers to ship reliable, observable, and scalable AI systems. My work emphasizes accuracy, guardrails to mitigate hallucinations, and efficient deployment to production through robust MLOps practices.
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