ZS / Enterprise AI systems
GenAI Analytics Platforms
Implementation work for GenAI analytics platforms serving Fortune 500 pharma teams.
Role
Product & AI Associate
Timeline
2025 - Present
3
Fortune 500 clients
40%
response quality lift
Multi-$M
program context
LLM
evaluation systems
Context
Enterprise GenAI products need more than a chat surface. They need reliable evaluation, user-specific data handling, stakeholder confidence, and product decisions that survive production use.
Outcome
Owned delivery paths across requirements, product specifications, evaluation design, demos, and release support for multi-million dollar AI programs.
Operating Moves
The work behind the result.
Translated ambiguous stakeholder asks into structured product and technical specifications.
Designed LLM evaluation frameworks covering consistency, hallucination checks, and reference validation.
Authored a PRD for image extraction with user flows, acceptance criteria, and success metrics.
Drove product demos for senior managers and associate principals.
Artifacts
How the system thinks
Evaluation spine
Prompt output -> reference comparison -> consistency check -> hallucination flag -> reviewer decision.
Product spine
Client ambiguity -> structured requirement -> PRD -> engineering build -> demo -> release feedback.
Operating principle
AI quality is a product behavior, not only a model behavior.