Daniel Nussbaum is a Head of Ops Platform with a decade of experience building scalable human-in-the-loop data operations for next-generation audio AI, currently leading platform efforts at David AI. He blends product management and engineering roots—from software engineering at Weebly to PM work at Scale AI—with strategy experience from McKinsey and Ubiquiti to turn ambiguous ML data needs into reliable, auditable systems. Based in Chicago with deep Bay Area experience, he focuses on operational tooling that scales annotation, ingestion, and model-ready pipelines for audio-centric ML. Colleagues describe him as a pragmatic systems thinker who moves fluidly between implementation details and organizational process, often surfacing small workflow optimizations that yield outsized improvements in throughput and data quality.
11 years of coding experience
2 years of employment as a software developer
Bachelor's degree Computer Science and Economics, Bachelor's degree Computer Science and Economics at Northwestern University
High School Diploma, High School Diploma at Highland Park High School
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