I am an AI/ML Engineer with 4.5 years of experience designing and deploying scalable ML solutions across healthcare, legal, and enterprise environments. I enjoy turning complex data into practical, high-impact outcomes and collaborating with cross-functional teams to drive data-informed decisions.
I specialize in end-to-end ML systems, including predictive modeling, NLP applications, and Retrieval-Augmented Generation (RAG) pipelines using LangChain and Hugging Face. I am proficient in Python, PySpark, and cloud platforms (AWS, GCP), and I follow MLOps practices—CI/CD, Docker, Kubernetes, and MLflow—to ensure reliable production deployments and compliance while delivering low-latency analytics.
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