Summary
Daniel Wabyick is a seasoned software engineer with 13+ years at Adobe, currently focusing on web video and AI-powered creative tooling in San Francisco. He combines deep client-side architecture expertise (TypeScript, web workers, ECS) with systems-level work in C++ and native platforms, having built playback engines, coediting/document infrastructures, and robust error and debugging tooling. Daniel pairs strong engineering craft with product thinking—designing normalized data architectures and shipping features that became premium product differentiators. He also brings hands-on AI experience, from building agentic systems and prompt optimization to integrating Azure and OpenAI SDKs into creative workflows. Known for mentoring and cross-disciplinary collaboration, he has a track record of turning prototypes into production features and publishing internal white papers to guide broader teams. Unusually, his career spans early Flash/AIR successes that influenced enterprise sales to recent AI-first innovations, giving him rare continuity across decades of creative software evolution.
13 years of coding experience
25 years of employment as a software developer
Exchange Year CS, Exchange Year CS at KTH Royal Institute of Technology
BS Computer Science, BS Computer Science at Washington University in St. Louis
Swedish