Vetted Product Development Professionals

“Providing technical guidance to a small team exploring a biomedical startup focused on earlier disease detection, including for remote/underserved areas. The venture is in ideation with initial research completed and is moving toward prototyping while exploring initial investment/support.”

“Built and deployed a compliance-sensitive LLM pipeline that extracts rebate logic from hospital–supplier medical contracts, using multi-layer redaction (regex/NER/dictionary), schema-validated structured outputs, and secure placeholder reinsertion. Hosted models on Amazon Bedrock to avoid retraining on sensitive data and improved both accuracy and cost by splitting the workflow into a lightweight section classifier plus a fine-tuned extraction model, orchestrated with LangChain and evaluated via layered, test-driven agent assessments.”

“Venture investing/sourcing professional who runs a high-volume, systematized founder outreach motion across warm intros, accelerators, social outbound, and databases (PitchBook/Crunchbase), targeting ~50 personalized founder touchpoints weekly. Uses AI workflows to build targeted lists and monitor company updates, and has converted highly contextual outbound into qualified diligence opportunities (e.g., industrial automation/frontline productivity). Values long-term founder relationships pre-raise through consistent value-add and is motivated by growth toward a partner track.”

“Founder building an AI-driven predictive analytics and programmatic advertising platform focused on identifying and marketing "hidden gem" songs and books. Has demonstrated early traction with 1M+ streams, a growing revenue base, acquired catalogs, and an artist roster, while developing proprietary AI and a supporting data ecosystem.”

“AI/LLM-focused builder with internship experience at Curated, where they owned a voice AI support deployment end-to-end and built a RAG-based internal knowledge assistant. They pair practical production instincts with measurable outcomes, including a 30% reduction in human-handled support tickets, a 20-point NPS improvement, and a 40% reduction in manual document search across five teams.”

“Engineering leader with 8+ years across IoT, emergency messaging, and political campaign data science, including operating a massive IoT microservices platform at several million devices and roughly 200 million requests per minute. Particularly strong in retrofitting legacy systems for modern observability using OpenTelemetry, Honeycomb, and Grafana LGTM, while also managing distributed international teams and developing engineers into senior and tech lead roles.”