Engaged directly with business problems and workflows to identify high-impact AI use cases, then designed and delivered solutions (NLP contract-intelligence; predictive account-scoring) from concept to production.
Built LLM and RAG systems hands-on using Python and API integration — sufficient to prototype, demo, and communicate credibly with engineering teams.
Designed AI systems for production readiness and adoption — grounding, human-in-the-loop, fallback, and evaluation against success criteria.
Defined KPIs and built dashboards to demonstrate measurable business outcomes and ROI, and presented findings and trade-offs to technical and non-technical stakeholders.
Go-to-Market & AI Solutions
Mar 2026 - Apr 2026 · 2 mos
Owned go-to-market for a new AI service from 0 to 1 — structured the value proposition, built acquisition funnels and outreach, and stood up analytics to prove traction.
Applied prompt engineering and AI tooling within a fast-moving, high-velocity environment.