# Yuning Zhang > Solutions Engineer | GenAI (LLM/RAG) | AI Workflow Orchestration | Discovery • POC/Demos | Google Cloud & AI Startups | Cornell Master’s Info Sci Location: San Francisco, California, United States Profile: https://flows.cv/yuningzhang I help technical and business teams adopt LLM-powered workflows, from discovery and workflow design to POC/demo and stakeholder alignment. Recently, I built an enterprise support copilot with ACL-aware RAG, citations, human-in-the-loop governance, and eval/observability. Demo + repo are linked in my portfolio. I’m interested in customer-facing technical roles across Solutions/Customer Engineering, AI solution consulting, and Deployment Strategy. ## Work Experience ### Solutions & Product @ Biomiga, Inc Jan 2025 – Present ### Solutions Engineer @ PRO ATHLETE Jan 2025 – Present Led end-to-end V2 redesign for an athlete performance and injury tracking app serving 350+ paid subscribers; revamped core workflows, delivered major features, and iterated based on stakeholder feedback. ### Solutions Consultant @ Google Jan 2024 – Jan 2025 • Led a team of 6 to design a Vertex AI-powered solution for 10M+ business users; built and presented an interactive demo that secured Google leadership buy-in and advanced the project to Phase 2. • Scoped solution requirements from 8+ stakeholder interviews and 5+ concept tests; mapped underlying workflows with UX, PM, Data, and Marketing to align technical feasibility, usability, and business priorities. • Refined the solution prototype through iterative testing and stakeholder feedback, resulting in a scalable solution that is projected to increase search efficiency by 85% and drive adoption and engagement. (Client project) ### Solutions Engineer @ Stealth AI Startup Jan 2024 – Jan 2024 • Structured an ambiguous early-stage LLM product and redesigned core workflows, acting as the technical point-of-contact during enterprise demos and driving a 3x increase in demo requests. • Led user interviews and facilitated cross-functional workshops with Engineering, UX, and Marketing to surface workflow bottlenecks and translate insights into prioritized solution requirements. ### Product Designer @ AImpower.org Jan 2024 – Jan 2024 Built a 0→1 accessible video-conferencing workflow for users with atypical speech; led discovery, workflow definition, and interaction design. ### Teaching Assistant @ Cornell University Jan 2023 – Jan 2024 | Ithaca, New York, United States INFO 1300 Web Design and Programming ### Product Designer @ Assurant Jan 2023 – Jan 2023 Redesigned the self-claim filing experience into an NLP-powered AI chatbot, leveraging insights from 2,500+ survey responses and usability testing to inform core flow decisions — boosting NPS from 6.5 to 9.0. ### User Researcher @ The University of Texas at Austin Jan 2023 – Jan 2023 | Austin, TX Spearheaded user research and usability testing with 4 engineers on a multimodal AI system that improved video accessibility for blind and low-vision viewers, boosting comprehension accuracy 2.7x. Results were published at CHI 2024 (top 1 human-computer interaction conference) and featured in The Daily Texan. ## Education ### Master's degree in Information Science Cornell University ### Bachelor of Science - BS in Mathematics (Honor) The University of Texas at Austin ## Contact & Social - LinkedIn: https://linkedin.com/in/yuning-scarlett-zhang - Portfolio: https://yuningzhang.com --- Source: https://flows.cv/yuningzhang JSON Resume: https://flows.cv/yuningzhang/resume.json Last updated: 2026-04-13