Herbert Siojo is a Staff Software Engineer and founder with 12 years of experience building and scaling startup systems where speed, ambiguity, and ownership matter. He has designed fault-tolerant, high-throughput architectures and led AI inference pipelines that process millions of resume reviews per month, combining schema-driven LLM outputs with human-in-the-loop evaluation to improve quality and auditability. His expertise spans data ingestion, retrieval, and query optimization (Postgres, ClickHouse), priority-aware workload management, and evolving task runners into stateful, fault-tolerant workflows. He pairs deep systems engineering with product-minded experimentation—shipping growth-focused features like email automation and A/B frameworks that move key funnels. Based in California and grounded in a Berkeley EECS background, Herbert thrives at the intersection of hard technical problems and measurable product impact, often making pragmatic trade-offs to deliver reliable results under bursty, production-scale workloads.
12 years of coding experience
9 years of employment as a software developer
BS, Electrical Engineering and Computer Science, BS, Electrical Engineering and Computer Science at University of California, Berkeley
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