At Infosys Ltd, I architected an AI-Powered Ticket Recommendation Engine using Python, LLM APIs, vector embeddings, and prompt engineering. It reduced Mean Time To Resolve by 35% across enterprise workflows.
I also designed dataset preparation and automated response evaluation pipelines for historical incident logs, improving semantic search retrieval precision. For Verizon, I engineered Java and Spring Boot microservices that increased API request throughput by 28%.
At Finastra, I developed backend services and data ingestion pipelines for a Global Corporate Banking platform, and optimized REST APIs to reduce response latency by up to 45%. I received the Infosys Insta Award for rapid development and enterprise adoption of AI automation tools.
