AI/ML Engineer with 4+ years of experience building machine learning, NLP, LLM, Retrieval-Augmented Generation, and predictive analytics solutions for enterprise intelligence, business analytics, and decision-support use cases. Skilled in Python, SQL, PySpark, Azure Databricks, AWS, scikit-learn, MLflow, and MLOps practices, delivering scalable data workflows, model pipelines, and production-ready integrations.
Experienced in experimentation, model validation, monitoring, CI/CD-aware MLOps, and creating recommendation systems, segmentation models, and forecasting solutions. Proficient in feature engineering, API-ready model integration, and translating complex datasets into actionable stakeholder recommendations across agile delivery environments.
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