Where I've delivered.

San Francisco, CA

• ▹Leading AI adoption strategy for a large state government health and human services agency, identifying automation opportunities and defining a roadmap for AI-assisted case management; directly advising senior client stakeholders on implementation approach and priorities.
• ▹Drove end-to-end delivery across scope definition, cross-functional requirements workshops, UAT coordination, and go-live validation; delivering four $800K+ enterprise platform releases annually across business, engineering, and QA organizations.
• ▹Facilitated a client discovery workshop that documented 20+ business objectives and mapped end-to-end process pain points; findings shaped the next release cycle and expanded overall project scope.
• ▹Designed and delivered a voice-enabled agentic market insights assistant integrating large language models, retrieval-augmented generation, AlphaSense, and Factiva; adopted by a large internal market insights team and actively being integrated into a second platform.
• ▹Managed the client relationship across 20+ stakeholder working sessions per release cycle, running biweekly syncs and pre-design sessions to align on requirements and resolve scope trade-offs; sustaining long-term client trust through escalations and timeline changes.

San Francisco, CA

• ▹Analyzed millions of records in SQL to isolate the root cause of a duplicate consumer notice issue and coordinated the full fix cycle from design through UAT and go-live; achieving a 20% reduction in redundant outreach with zero recurrence in the six months post-deployment.
• ▹Prototyped the initial delivery framework and formalized onboarding, sprint cadences, intake workflows, and documentation standards; scaling the delivery organization from 5 to 40+ engineers to support rapid program and team growth.
• ▹Enforced structured test case development, cross-functional QA alignment, and UAT entry and exit standards; reducing pre-production defects by 30% on customer-facing releases.
• ▹Built operational dashboards and delivery trackers to monitor KPIs, release risks, and cross-workstream dependencies; enabling leadership to prioritize initiatives and accelerate decisions across concurrent programs.

San Francisco, CA

• ▹Analyzed 200,000+ user records in PostgreSQL to quantify route optimization value, surfacing an average of $71 in gas savings per user (~20%); directly informing customer value messaging and cost-saving initiatives.
• ▹Partnered with product and engineering to analyze feature engagement patterns using Python, identifying adoption gaps that informed rollout decisions; driving a 30% increase in usage of route optimization tools across the platform.
• ▹Conducted a pricing strategy analysis in R, modeling customer behavior across tiers and recommending a 5% pricing adjustment; improving retention and supporting revenue growth.