Vetted Workflow Automation Professionals

Mark Kemp

Screened ReferencesStrong rec.

Director of Product Management specializing in FinTech and financial data platforms

Austin, TX15y exp

“Product leader in financial services who has built both customer-facing and internal AI-enabled products, including an award-nominated retirement plan platform that drove submissions from 40% to 98% in good order and unlocked a $10M revenue stream. Also built product process and team structure from the ground up at Consero, with experience applying AI/LLMs to workflow automation and reporting in complex, data-heavy environments.”

Randall Agate

Screened ReferencesStrong rec.

Director-level Sales Engineering leader specializing in enterprise SaaS

8y exp

“Sales Engineering leader with 8 years of progression from Business Analyst to Senior Director, spanning LegalTech, private markets, and insurance SaaS. Stands out for combining hands-on enterprise solution consulting, security/compliance diligence, and architecture fluency with team scaling and operational buildout, including growing an SE org from 2 to 8 and earning multiple pre-sales awards.”

“Healthcare product leader who rebuilt the NextCare Anywhere urgent care platform across mobile and web, dramatically improving booking conversion from 2% to 34% by simplifying the patient journey and fixing key caregiver workflows. Also brings emerging AI leadership in regulated environments, having helped define AI policy and pilot human-supervised workflows that delivered 30-40x documentation gains with 100% first-pass approval.”

Trevor Peace

Screened ReferencesStrong rec.

Senior Full-Stack Engineer specializing in Healthcare IT

San Francisco, CA27y exp

“Founding/sole engineer who has built multiple healthcare products from scratch, spanning medical billing, cardiology triage, and cardiac device monitoring. Particularly compelling for healthtech and AI roles: they combine full-stack TypeScript/AWS execution with strong product judgment in regulated settings, including shipping voice-enabled RAG workflows and rejecting unsafe AI automation when simpler human-in-the-loop UX was the right answer.”

“Built and deployed an AI Copilot for Healthful Telehealth that helps dietitians generate personalized meal plans using patient data and real-time clinical context. Stands out for owning the full lifecycle—from workflow discovery and ETL/RAG architecture to production incident response and post-launch stabilization—while delivering roughly 30% gains in retrieval accuracy and latency.”

“ML/AI engineer with hands-on experience shipping production computer vision and GenAI systems, including a fabric defect detection platform that combined vision models with agentic LLM workflows to reach 89% human-inspector agreement at 200 ms latency. Also built a RAG-based code QA tool for developers and emphasizes production monitoring, evaluation, caching, and reusable Python service design.”

“AI/ML Engineer (TCS) who built and deployed a production LLM-powered audit transaction validation service to reduce manual review of unstructured transaction records and comments. Implemented a LangChain/Python pipeline for extraction/normalization and discrepancy detection, with strong production reliability practices (decision logging, dashboards, labeled eval sets) and a human-in-the-loop auditor feedback loop to improve precision/recall under strict data-sensitivity and near-real-time constraints.”

“Full-stack engineer with experience spanning a small healthcare startup and Groupon-scale personalization systems. Stands out for building HIPAA-compliant healthcare workflows end-to-end while also shipping recommendation and LLM-enabled platforms used by millions, with strong depth in React/Next.js, Node.js, Python, AWS, and scalable event-driven architecture.”