Led end-to-end design and launch of an LLM-powered search and analyze platform for unstructured enterprise data, unifying legacy NLP workflows into an agentic UX, enhancing analyst efficiency while ensuring explainability, resulting in securing multimillion-dollar customer contracts in early deployments.

Spearheaded the UX research and development of explainability guidelines for generative AI outputs, shaping interaction patterns that reduced hallucination risks, calibrated trust, and prevented over-reliance, validated through overwhelmingly positive customer feedback.

Designed and launched a custom NLP model-building product with six model types and advanced features like model-powered labeling, significantly expediting the model-building process while ensuring clarity and user trust.

Collaborated with a cross-functional product team to create a skill dashboard and skill explorer that surfaced overlooked candidate pools, enabling employers to expand diversity in hiring pipelines and improve role-matching accuracy.

Designed and launched recruiter workflow enhancements (automated follow-ups, smart response indicators) that lifted recruiter response rates by 25% in one quarter and reduced manual workload for sourcing teams.