Aryan Ruparel

I am an Artificial Intelligence and Data Science engineer with hands-on experience building ML and GenAI products that improve data privacy, automation, and test coverage. At Tata Consultancy Services I increased ML-based sensitive data discovery accuracy from 40% to 85%, implemented spaCy-based automapping to boost schema alignment performance by 70%, and developed synthetic test-data generation solutions using generative AI.

My background includes research and QA for client applications, integrations with external APIs, and multiple applied projects—agentic workflows for sensitive data discovery, GPT-based conversational recommendation systems, blockchain certificate verification, and data visualization with Tableau. I prioritize explainability, scalable POCs, and human-in-the-loop auditing to deliver compliant, production-ready solutions.