At Cognizant Technology Solutions, I built ETL workflows with Informatica PowerCenter and Python to profile data and address integrity issues in banking datasets. I also designed regulatory data validation pipelines using Informatica Data Quality.
I automated data quality checks with Python multithreading and T-SQL, then reviewed edge cases and wrote unit tests to catch silent failures before production.
At L&T Technology Services, I built a mental health chatbot using Retrieval-Augmented Generation and developed its document retrieval and Python backend workflow. I evaluated responses and refined prompts to reduce hallucinated or off-context answers.
On Schemify AI, I built a multi-agent government scheme advisor with LangChain and Mistral AI, adding inter-agent validation to check outputs. I also built Click to Insight, an Azure data pipeline and dashboard for player engagement analytics.
