At Uber Technologies, I owned the product lifecycle for three internal Generative AI tools serving support specialists. I partnered with ML engineers on evaluation benchmarks and prompt guardrails, and improved agent workflows.
By optimizing response suggestions and multi-turn conversations, I reduced Average Handle Time by 45% and increased 30-day active adoption from 40% to 93%. I also prioritized more than 100 feature enhancements using RICE.
At Uber, I defined and released an internal employee mobility platform from 0 to 1. I scoped MVP features and worked with engineering on system specifications and dispatch and routing logic.
Earlier at Uber, I partnered with Product and Engineering on telemetry for more than 30 features and built SQL pipelines to surface user drop-offs. My analysis informed product roadmaps, and I created KPI frameworks and self-serve executive dashboards.
