Daniel Angell is a hands-on software engineer and owner based in San Francisco with 11 years of experience building web platforms, infrastructure, and ML/data tooling across startups and large companies. He has shipped security-sensitive firmware debugger integrations at Google, led full-stack migrations and real-time features at Copy.ai, and architected a synthetic data and GPU training platform at Breakpoint AI. Comfortable across stacks—from Ruby on Rails to TypeScript monorepos, Kubernetes, and pgvector—he favors simple, pragmatic infrastructure that accelerates product development. Known for relentless curiosity and a conversational approach to learning, he grows fastest by talking to smart people and owning end-to-end projects. A self-described expert in “naming and cache invalidation,” he pairs engineer-level craftsmanship with entrepreneurial speed as he scales contracting work through Angellic Tech.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Drexel University
Contributions:6 releases, 71 commits, 1 PR in 1 year 9 months
brainfuckinterpreterjust-in-time
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