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Chris Eaton — Senior Product Manager, AI Enablement

I build AI-powered products and ship the internal tools that make teams move faster. Currently focused on helping B2B companies turn AI capabilities into customer and revenue impact.


Work

LiveData (surgical workflow SaaS, 90+ hospitals)

Project What it does
livedata-lumen-case-study LiveData's first AI product — natural language OR data queries via MCP agent loop, multi-hospital config system, training data foundation for future domain SLM (TypeScript / AWS Bedrock / MCP)
livedata-context-engine-case-study AI knowledge engine adopted org-wide — department-specific engines for sales, CS, PM, and marketing with smart context routing and MCP integration (TypeScript / Next.js / RAG)
livedata-sitehealth-case-study VA hospital site health dashboard — AI document extraction from field reports, health scoring across 85+ sites, portfolio-level trends (Python / FastAPI / React / AWS)
roi-calculator-case-study AI-powered sales ROI calculator — deterministic math + conversational what-if agent + audience-specific pitch generation, used in active sales conversations (Python / FastAPI / Claude API)
content-amplifier-case-study AI content repurposing engine — transforms transcripts into LinkedIn posts, email sequences, and blog posts in brand voice (React / Claude API / Supabase)

Personal Projects

Project What it does
public-surgical-data Federal surgical data pipeline — ETL framework aggregating CMS, AHRQ, and VA data into a unified schema; 1.3M+ records, 10 collectors, VA hospital complexity tagging (Python / PostgreSQL / SQLAlchemy)
strategylive Real-time AI sales coach for Google Meet — captures mic + tab audio, transcribes locally via Whisper, delivers live coaching suggestions through a browser extension overlay (Python / Whisper / Claude / Chrome Extension)
DailyStrategy AI-powered competitive intelligence briefing tool with MCP server backend, deployed on Vercel (TypeScript / Next.js / Python / MCP)
competitive-intel-v2 Competitive intelligence platform — RSS monitoring, GPT-4 analysis, automated email delivery (Python / FastAPI / PostgreSQL)
pm-prioritization-tool Interactive impact vs. effort matrix for feature prioritization, with value-score ranking and PNG export (React / Tailwind)

Stack

Languages — Python, TypeScript, JavaScript AI/ML — Claude (Anthropic), OpenAI GPT-4, Whisper, tool-calling agents, RAG, MCP, prompt caching, AWS Bedrock Backend — FastAPI, Node.js, PostgreSQL, Supabase Frontend — React, Tailwind CSS, Next.js, Vite Infra — AWS (App Runner, RDS, S3, CloudFront, Lambda), Vercel, Railway, Docker


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