Each case study reflects how I approach AI leadership: unmasking demo hype, solving real edge cases, establishing rigorous governance, and delivering measurable business ROI.
A secure hybrid retrieval system built on Azure AI Search. Helps support and operations teams find verified answers in seconds without manual document searching or ungrounded responses.
A semi-autonomous development factory that helps teams take AI prototypes to production readiness. Combines test-driven validation, cost controls, and responsive UI verification.
A consumer-grade native iOS application that empowers job seekers to analyze, polish, and tailor their resumes in real time using Google Gemini and FastAPI cloud services.
A pragmatic decision framework that helps teams choose the right AI approach (from direct prompting to single agents and cloud services) without over-engineering or unnecessary cost.
An intelligent conversational agent built with LangGraph and Google Gemini that routes dynamically between real-time headlines (NewsAPI) and live search (Tavily).
A governance dashboard that connects model usage, cost controls, security posture, and operational guardrails for AI-driven teams.