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ksolano220/README.md

Katherine Solano

Founder · operator · applied-AI builder · MBA, Pepperdine

Founder of ZONA. I enjoy building consumer products and architecting the revenue systems underneath them. Most recently, I've shipped applied AI products into real operations, in the US and abroad, to help businesses grow.

🌐 unknownbehavior.com · 💼 LinkedIn

Currently

  • Founder of ZONA, a real-time nightlife platform that turns user behavior and demand into where tonight is. I lead product, design, and engineering across iOS and Android, plus the venue portal, ads marketplace, promoter portal, ticketing, and lifecycle engine. 150K+ downloads, 25+ venue partners, live since June 2024.
  • Building with AI across the stack: a lifecycle decision engine with A/B-tested creative, plus standalone systems like Sentra (runtime control for AI agents), Cortex (dual-model review), and voice-coach (a real-time voice agent).

Selected work

Product & growth

  • ZONA. Consumer nightlife marketplace plus B2B partner platform (portal, ads, promoter, ticketing). Product, brand, monetization, and partner delivery end to end. More at unknownbehavior.com.

Applied AI & systems

  • sentra. Runtime execution control for autonomous AI agents: scores risk, enforces allow/block/shutdown. Model-agnostic.
  • sentra-medication. Runtime governance for AI in medication: validates AI-generated orders against live patient data (FHIR R4) and returns allow/block/escalate in under 100ms, built to EU AI Act Article 12. An NYU Berlin team project I led; we presented to Google and Join Capital and won the final pitch before a faculty panel. Live demo.
  • cortex. Dual-model governance: a worker writes, an overseer stress-tests, agents respawn with memory after repeated failures.
  • voice-coach. A real-time AI voice agent you talk to out loud: streaming speech-to-text → Claude → text-to-speech in one low-latency pipeline (Pipecat, Deepgram, Cartesia, Silero VAD), with live tool-use and a swappable personality.
  • care-gap-engine. Population-health outreach prioritization: ranks open care gaps by clinical urgency × response likelihood × equity, then drafts personalized patient outreach with Claude (prompt-cached), behind a public methodology card. Live demo.
  • autonomous-claims-workflow. Multi-agent workflow on IBM watsonx.ai + Granite, governed end to end by Sentra (IBM SkillsBuild AI Lab, 2026).
  • symptom-triage-coach-v2. Multi-modal LLM build: image + text in, schema-validated output, with an eval harness.

Earlier data & analysis

SQL and Python over public datasets: medicare-billing-analysis, ed-wait-time-dashboard, healthcare-access-risk-analysis, clinical-trial-trends.

Skills

  • Product & growth: product strategy, partner platforms, marketplace systems, lifecycle/CRM, monetization & pricing, A/B testing
  • Applied AI: multi-agent systems, real-time voice agents (Pipecat · Deepgram · Cartesia · Silero VAD), multi-modal & vision (Claude), tool-use / function-calling, LLM evals & eval harnesses, prompt caching, LoRA/QLoRA fine-tuning, Hugging Face, PyTorch, Claude API, IBM watsonx.ai
  • Engineering: Python, Node.js, Express, FastAPI, Streamlit, MongoDB, Firebase, React Native, REST APIs
  • Data: SQL, Python (pandas, NumPy), experimentation, dashboards
  • Languages: English / Spanish

Pinned Loading

  1. care-gap-engine care-gap-engine Public

    Population health outreach prioritization. Ranks open care gaps by (clinical urgency × response likelihood × equity priority), then drafts personalized outreach with Claude.

    Python

  2. symptom-triage-coach symptom-triage-coach Public

    LoRA fine-tune of Qwen2.5-1.5B that converts plain-language symptoms into structured pre-visit prep JSON. Schema-validated outputs, synthetic training data.

    Python

  3. sentra sentra Public

    Runtime execution control for AI agents. Policy enforcement, risk tracking, and three-strike shutdown, with a Python SDK for drop-in integration.

    Python 1

  4. autonomous-claims-workflow autonomous-claims-workflow Public

    Multi-agent AI system for public service claims that intentionally demonstrates unsafe approval actions triggered without verification, highlighting the need for runtime control (Sentra).

    Python

  5. cortex cortex Public

    Two AI models check each other's work so you don't have to.

    Python