Srinubabu y

I’m an AI/ML Developer and Senior Data Engineer with 7+ years of experience building intelligent systems, predictive models, and scalable machine learning solutions across cloud platforms.

I develop end-to-end ML pipelines—from data preprocessing and feature engineering to model training, evaluation, deployment, and monitoring—grounded in strong MLOps practices, CI/CD for ML workflows, and scalable AI architectures.

In my most recent role, I built banking and insurance risk prediction systems for loan default risk, fraud detection, and claim anomaly detection, using Python, Scikit-learn, and deep learning with TensorFlow and PyTorch. I also implemented NLP models for customer complaint text and deployed models using Docker and REST APIs for real-time predictions, with MLflow for tracking, versioning, and experiment management.

I also delivered an e-commerce recommendation and customer analytics platform, leveraging Collaborative Filtering and Matrix Factorization, customer segmentation with clustering (K-Means, DBSCAN), and NLP-based sentiment analysis. I integrated streaming-driven real-time recommendations and automated pipeline workflows using CI/CD and MLOps, improving engagement and conversion through AI-driven insights.