Adam Scott

Built an AI policy analysis platform on regulated government and economic datasets, delivering real-time decision support through dashboard, chat, mobile, and Chrome extension experiences.

• Architected and built real-time AI-assisted dashboard and chat workflows, owning delivery from front-end UX through backend inference services.
• Designed and implemented reproducible end-to-end pipelines for ingestion, enrichment, chunking, embeddings, retrieval/query, and prompt orchestration in production.
• Built and operated 70+ production APIs across auth, chat, search, scoring, and financial integration services.
• Implemented event-driven orchestration with Trigger.dev and AWS Lambda to improve reliability and performance of asynchronous AI processing.
• Automated build and deployment pipelines across web, mobile, and Chrome extension clients to improve release consistency and delivery speed.
• Defined Terraform environment strategy and GitOps deployment patterns to support repeatable multi-region rollout readiness.
• Operated PostgreSQL-backed services and partnered cross-functionally with domain stakeholders to convert complex policy workflows into actionable product features.