One area where I excel as an AI PM: building agentic workflows from scratch, architecting the state machine, writing the prompts, and running a real clinic trial.
A real-time voice scheduling agent trialled at a small GI clinic in the Bronx. Patients call in, get identified by phone number, then either book an appointment or leave a note — no staff needed for routine calls.
I designed the LangGraph state machine, wrote the GPT-4o-mini intent prompts, wired the Deepgram WebSocket pipeline, and debugged audio encoding at the binary level. PM and builder on the same ticket.
AI features fail at the seams — between STT and intent, between intent and action. Being in the code means I catch those gaps before they become missed appointments or patient-facing errors.
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