• Leading design of conversational AI experiences, from flows to prototypes

• Iterating on prompts and UX, handing finalized specs to engineering

• Set up user testing and incorporate results into conversation flows

• Present designs to senior leadership, shaping key product decisions

• Lead wireframing and prototyping of conversational flows, turning complex user needs into clear, scalable AI interactions

• Drive end-to-end product design for Fargo, ensuring conversations are intuitive, natural, and aligned with business goals

• Present designs to key stakeholders (devs, legal, compliance) and lead User Acceptance Testing (UAT)

• Source, generate, and annotate data for intents, entities, and conversational context

• Review production log conversations and optimize model performance

• Monitor model metrics (e.g., F-scores, accuracy) and recommend retraining strategies

• Collaborate with teams to refine training data and improve overall NLP accuracy

• Led end-to-end conversational experience for an AI-powered virtual assistant on over 20 projects with Fortune 500 companies

• Partnered with client-side stakeholders to draw insights from business processes and design workflows

• Developed, annotated, and tested large training datasets using machine learning models

• Designed and managed crowdsourcing projects

• Collaborated with the R&D team on improving intent and entity recognition, and humanization of VA's responses

• Managed QA and UAT tasks, and reported conversational accuracy metrics