Vetted Kanban Professionals

“Product leader at FloQast who launched FQ Ops from scratch, expanding the company beyond close management into a broader workflow platform that reached 70% adoption and $4.5M ARR in its first year. Has led both product and interim design organizations, mentored multiple internal hires into PM roles, and brings a thoughtful human-in-the-loop AI philosophy shaped by leading AI strategy across more than 10 product areas.”

Shreya Roy Koneri

Screened

Mid-level Software Engineer specializing in backend microservices and real-time payments

Phoenix, AZ5y exp

“Product-minded full-stack engineer who has owned customer-facing platforms end-to-end, including a unified web UI platform that increased adoption by 30% using feature flags and phased rollouts. Experienced designing TypeScript/React systems with microservices and RabbitMQ at scale, addressing reliability issues with DLQs, retries, and idempotent consumers, and building internal analytics tooling adopted company-wide within weeks.”

“Unity/C# gameplay engineer from Roku who led and shipped a cross-platform real-time multiplayer system spanning Meta Quest VR and iOS/Android, including AI/LLM-driven NPC behavior. Reported strong post-launch outcomes (+40% VR retention, +25% engagement) with stable networking (server-authoritative, delta compression/prediction) and robust debugging/observability via logging and replay tools.”

Yashwanth J

Screened

Mid-level Software Engineer specializing in AI/ML and full-stack systems

Seattle, WA4y exp

“Engineer with Apple experience building LLM-powered internal workflow orchestration systems using Python, LangGraph, FastAPI, Redis, vector search, and Kubernetes. Stands out for a highly pragmatic, production-focused approach to agentic systems: deterministic state management, strong guardrails, observability, and human review for high-risk actions.”

“AI/LLM-focused engineer with hands-on experience building RAG pipelines, prompt engineering workflows, and multi-agent systems using tools like LangChain. Stands out for combining AI-assisted development with production-grade validation and for leading the architecture/orchestration of agent-based recommendation systems that improved response time, accuracy, and scalability.”

Edward Herdemian

Screened

Executive product leader specializing in FinTech, commerce, and marketplace platforms

Phoenix, AZ17y exp

“Product leader from JPMorgan Chase who built a shopping organization from essentially a PM-and-designer starting point into a 50+ person cross-functional team supporting experiences for 30M+ cardholders. While not yet owning a customer-facing AI product, they bring thoughtful experience using internal LLM tools to shape product strategy and a strong human-centered perspective on AI, trust, and UX simplification in complex enterprise environments.”

DAVID STOKER

Screened

Senior Product and Program Leader specializing in technology, AI, and aerospace operations

Kent, WA12y exp

“Product leader with experience spanning Boeing, Amazon, and ScribeAmerica, combining large-scale operational product builds with human-centered AI in healthcare. Most notably led Amazon's Fleet Edge initiative to 35,000 deployed devices and an estimated $88M in savings, then helped shape Speke AI into a multi-platform medical documentation workflow product focused on provider trust, adoption, and real-world usability.”

Josh Rhoades

Screened

Executive Technology Leader (CTO) specializing in AI-enabled SaaS and regulated platforms

Los Angeles, CA30y exp

“Senior engineering leader with experience at Disney and BlackLine who drives business-aligned technology roadmaps through deep Product/Engineering partnership (two-in-a-box) and pragmatic prioritization frameworks. Has led major modernization initiatives—private-to-public cloud migration to GCP with multi-cloud evolution, data-layer performance improvements (Mongo/Redis, caching/query optimization), and tooling upgrades (VSS to GitHub)—while scaling teams with strong quality and accountability culture.”