At Avaya, I delivered an Omni SDK configuration enhancement that lets customers configure voice alongside chat in the website support widget. I designed and implemented its APIs and UI, migrated existing APIs, and delivered the feature with unit tests and quality fixes.
I also built a client-side TypeScript SDK for embedding Avaya voice workflows in external CRMs, with real-time call controls and session recovery. To check its performance, I built a repeatable GitHub Actions benchmark and traced retained objects to accumulated CDP logs; reruns after cleanup showed no SDK memory leaks.
As an Avaya Software Engineer Intern, I built RAG pipelines and Azure ML workflows for LLaMA data ingestion, fine-tuning, training, and deployment. In my ReadEaze project, I built an AI-powered reading assistant with real-time question answering and scene-based image generation.
