At Tata Consultancy Services, I engineered Vertex AI predictive pipelines to forecast cell tower failures and optimize signal routing, reducing MTTR by 40% in high-volume network zones.
I also architected Terraform-based infrastructure automation for GCP, integrating it with GitLab CI/CD to make deployments repeatable in under five minutes.
I led an Agentic AI team that built an end-to-end remediation system to detect SAP errors, raise ITSM tickets, and resolve issues without human intervention. I also built a natural-language data quality assistant for Data Engineers using Google Agent Development Kit and Gemini.
Earlier, as a Software Developer Intern at Webknot Technologies, I worked on AI agents for marketing and HR, and engineered Jenkins CI/CD pipelines for a healthcare platform. My projects include multi-agent legal research with LangGraph and LangChain, and automated email processing with Amazon Bedrock.
