System Engineer
2+ yrs · Present
Tata Consultancy Services
- Built production-ready Generative AI APIs and AWS Lambda functions using AWS Bedrock with a RAG architecture, delivering conversational AI chat and intelligent document Q&A that reduced manual data analysis time by 70% across business operations.
- Played a key role in building a Customer Support Intelligence Platform on AWS Bedrock with a Retrieval-Augmented Generation (RAG) architecture, designing document ingestion pipelines, vector embeddings, and semantic retrieval over the knowledge base to deliver accurate, context-aware responses.
- Developed a Text-to-SQL system powered by large language models on AWS Bedrock, enabling non-technical business users to query complex databases through natural language.
- Architected scalable ETL pipelines using AWS Glue, Athena, and Step Functions to process terabytes of data into analytics-ready products, cutting processing time from hours to minutes and enabling real-time ML model training.
- Managed the full application lifecycle with GitOps principles via ArgoCD and automated infrastructure deployment using AWS CloudFormation.
- Engineered a synthetic data generation system to automatically produce production-like relational test datasets while preserving referential integrity and foreign key relationships, enabling safe ML development and testing.
