I’m a Python AI/ML engineer with about 4 years of experience building production-ready machine learning and Generative AI solutions across banking and healthcare. I develop predictive models, fraud and risk analytics, and intelligent automation systems using Python along with modern ML and LLM tooling such as TensorFlow, PyTorch, Scikit-learn, and MLOps practices.
I also design end-to-end LLM applications and RAG pipelines using LangChain/LangGraph, embeddings, vector databases, and FastAPI-based REST services for reliable enterprise deployment. My work focuses on scalable data pipelines, optimized inference for low latency, and strong engineering foundations (clean code, reusable architectures, CI/CD, monitoring, and governance) to deliver accurate and dependable AI outcomes.
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