CH

Product & Quality Leader · AI Engineering

Candace Hagood

AI engineering — building production-grade LLM products

Twenty years in pharma and quality management software, including 5+ years leading US and global implementation teams. I now design and ship AI products with the same discipline: clear requirements, real validation and a focus on the people using them.

20 yrs · pharma quality software
Global implementation leadership

21 CFR Part 11GAMP 5 · GxPSOC 2 · HIPAA · GDPRUS & global teams

Technical skills

Shown in the five shipped products below.

LLM product engineering

  • ·Prompt and system design for production LLM features
  • ·Multimodal AI: bill, photo and document reading
  • ·Retrieval with embeddings to ground AI output
  • ·AI evaluation, model cards and usage logging
  • ·Human-in-the-loop review and AI content moderation

Full-stack delivery (AI-assisted)

  • ·React + TypeScript web and mobile apps (Capacitor)
  • ·Postgres data modeling with row-level access rules
  • ·Serverless backend services and scheduled jobs
  • ·Third-party APIs: Jira, Recall.ai, Google Maps, finance and government data
  • ·Stripe subscriptions, email and auth

Quality & validation engineering

  • ·21 CFR Part 11 e-signatures and immutable audit trails
  • ·Traceability, risk (FMEA) and auto-generated UAT
  • ·Automated end-to-end testing (Playwright)
  • ·Security, GDPR and data-retention controls

Product & data

  • ·Requirements and BABOK methodology
  • ·Signal and anomaly design on live data
  • ·Business and financial modeling
  • ·UX for consumers, power users and regulated teams

Currently deepening

Hand-written TypeScript & SQLLLM eval metricsVector search tuningAgent orchestrationCI/CD & cloud ops

Selected work

05 / projects

Open to product, quality and AI product roles.

No formal AI degree — just two decades of making regulated software trustworthy, and five shipped AI products to show for it. Let's talk.