Vetted Retrieval-Augmented Generation (RAG) Professionals

“Built and deployed PIKA, an internal multi-agent platform for FDA-regulated software development, owning it from concept through production. The candidate combines strong full-stack engineering with rigorous LLM orchestration, human-in-the-loop controls, and production eval systems, delivering measurable impact: 3x more design issues caught, ~90% fewer false positives, and ~40% efficiency gains on documentation-heavy workflows.”

Jason Main

Screened

Executive product leader specializing in AI, SaaS, and Healthcare IT

Austin, TX20y exp

“Product leader with experience spanning AWS enterprise software commercialization, healthcare workforce platforms, and AI-enabled peer mentoring products. Notable wins include launching a healthcare internal resource pool product that offset declining revenue by 3x+ and helping commercialize Amazon call center software into a product that generated just under $25M in first-year revenue. Strong throughline is customer-led product strategy, cross-functional execution, and human-centered AI that augments rather than replaces people.”

“Built and owned an LLM support copilot at Stripe focused on improving agent ticket resolution. Designed the backend and ML system end to end, using RAG, Redis caching, hybrid vector search, and LoRA fine-tuning to achieve 40% lower latency and 22% higher response accuracy, with continuous quality monitoring via Ragas and related evaluation frameworks.”

Jared Glaser

Screened

Director-level Product Leader specializing in FinTech customer experience

Chicago, IL15y exp

“Senior product leader with major transformation experience at Adyen, where they unified fragmented customer-facing product lines, led seven cross-functional teams, and launched the company's first production AI experience. They pair strong UX and organizational judgment with measurable outcomes, including 25% support-ticket deflection and a components strategy that grew into a 50+ product portfolio. Earlier, they also led the first mobile app build at Fifth Third Bank, reinforcing a consistent philosophy of using technology to amplify human impact rather than replace it.”

“Built a production RAG-based "knowledge copilot" for support/ops using LangChain/LangGraph, implementing the full pipeline (ingestion, chunking, embeddings, vector DB retrieval/rerank, guarded generation with citations) and operating it as monitored microservices with CI/CD. Also designed an event-driven, streaming backend for real-time inventory ordering predictions that reduced stockouts by 25%, and has hands-on incident response experience stabilizing LLM API latency/5xx spikes using Datadog/APM and resilience patterns.”