At Deqode, I designed a production machine learning inference pipeline on Snowflake that automates XGBoost model registration, deployment, and scheduled batch scoring. I also developed a serverless RAG solution using Azure OpenAI, vector search, and BM25-based keyword search.
At Michelin, I designed MLOps pipelines across Azure ML, Azure Data Factory, and Azure Databricks, and operationalized real-time and batch inference workflows with Dataiku. I implemented model lifecycle management with MLflow and built CI/CD pipelines in Azure DevOps for controlled promotion across environments.
Earlier, as a Software Developer at ExxonMobil, I developed backend services and responsive web interfaces, and wrote SQL Server procedures, views, and triggers for historical data cleanup and analytics. I have an M.Sc. in Data Science from Chennai Mathematical Institute and a B.Tech. in Computer Science and Engineering from NIT Calicut.
