Neil Zumwalde is a technical leader and freelance consultant with over a decade of hands-on experience building software, data infrastructure, and AI systems for startups and product teams. He blends deep expertise in generative AI pipelines, GPU provisioning, and LLM tooling with blockchain and DeFi architecture—having led Credmark from concept to a $5.5M raise and built on-chain data ETLs and tokenomics models. At Vana he slashed ML compute/storage costs by 92% while producing early Stable Diffusion personalization pipelines, and at Driver he engineered AI agents that make legacy codebases readable and actionable. Comfortable at the intersection of product, engineering, and investor-facing roles, Neil routinely prototypes MVPs, runs remote teams, and architects secure, auditable systems that favor storage-scalable analytics over compute-heavy approaches. Based in Los Angeles, he combines electrical engineering, computer science, and audio-recording training—an eclectic background that informs pragmatic, cross-domain solutions.
9 years of coding experience
14 years of employment as a software developer
Associate of Arts and Sciences (A.A.S.) Recording Technology, Associate of Arts and Sciences (A.A.S.) Recording Technology at McNally Smith College of Music
Bachelor of Science (B.S.) Electrical Engineering, Bachelor of Science (B.S.) Electrical Engineering at University of St. Thomas
The smart contracts for allowing xCMK, setting the stage for scalable Risk Data APIs
Contributions:4 reviews, 9 PRs, 10 pushes in 2 months
scalablesettingethereumriskblockchain
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