Raj Kumar
Nelluri

// about me

Building ML Systems
That Work in Production

I'm an AWS Certified Cloud Practitioner and MS Computer Science graduate from Pace University, New York, with a B.Tech in Artificial Intelligence from Amrita Vishwa Vidyapeetham. My focus is on designing and deploying end-to-end machine learning pipelines and cloud-native data systems on AWS that go beyond notebooks into real production infrastructure.

On the ML engineering side, I've trained and deployed models using XGBoost, TensorFlow, and Scikit-learn for fraud detection, churn prediction, and demand forecasting. I work across the full ML lifecycle — feature engineering, hyperparameter tuning, cross-validation, SageMaker managed training jobs, and real-time inference endpoints — with monitoring and automated retraining via CloudWatch and EventBridge.

On the data engineering side, I build batch and streaming ETL pipelines that process 500,000+ records, design data lake architectures on Amazon S3, and manage relational data warehouses on AWS RDS. I understand the full data journey — schema validation, data quality enforcement, transformation logic, and storage — the infrastructure that makes ML systems actually reliable.

I'm actively seeking entry-level roles in Data Engineering, ML Engineering, or Cloud Engineering at US tech companies and startups.