Premkumar Narla

AI/ML Engineer with 4+ years of experience building data-intensive systems by integrating PySpark pipelines, large-scale feature engineering, and predictive modeling to solve complex operational challenges. Leverages gradient boosting, time series techniques, and transformer-based NLP models to extract meaningful patterns from high-volume, unstructured data. Develops and deploys scalable inference services using FastAPI, Docker, and cloud platforms, while managing model lifecycle through MLflow and experimentation frameworks, ensuring production systems remain robust, adaptive, and aligned with evolving data behaviors and decision-making requirements.