Helping improve conversational shopping experience, product discovery, and Advertising using "Sponsored Prompt" Ads and Rufus LLM - a Gen AI powered Shopping Assistant.

AWS Contact Lens team.

AWS VoiceID team.

Interned in the AWS Contact Lens team. Contact Lens is a service providing NLP-powered analytics for call-center conversations, helping businesses improve their customer support services.

• Developed a new ML service, capable of performing real-time inference on text data using an NLP model, as part of an upcoming feature of AWS Contact Lens. Technologies used include Python, PyTorch, Docker and AWS Sagemaker, among others.

• Automated service deployments by writing infrastructure code to create a production-ready CD pipeline along with the AWS infrastrcuture needed to support the service.

• Surpassed the internship goals by partly completing the integration of this service with existing system, in addition to predetermined deliverables.

• Developed probabilistic models (Bayesian HMMs and Coupled Bayesian HMMs) for modelling time-series feature sequences of converstions between two persons.