sandeep vvs

Engineered an internal platform for ML model monitoring using Pandas, Numpy, Scikit-learn, and PySpark. Onboarded regression and classification models by implementing data capture, cleaning, and monitoring features Integrated MLflow for model registration, experiments, and tagging. Developed backend APIs to retrieve and aggregate data from RDS for model monitoring and LLM monitoring Facilitated migration from Teradata to Redshift and Palantir Foundry for United Airlines.

Developed Pyspark applications in a Big Data Hadoop architecture for Deutsche Bank and acted as an point of contact for the offshore team. Optimized long-running Spark jobs through techniques like column pruning and caching, reducing runtime. Designed process flows for additional features and new ETL pipelines, enabling parallel processing in Spark. Wrote unit test scripts with high coverage and improved efficiency by over 50%. Utilized Control-M for job scheduling and Bitbucket for CI/CD.