Kiernan Mcgowan is a software engineer with 11 years of experience building data-driven full-stack systems, currently focused on AID at Hightouch in San Francisco. He combines an MS in Electrical Engineering with hands-on expertise in JavaScript, Node.js, signal and information processing, and Elasticsearch to design scalable pipelines for mining, storing, and analyzing big data. Kiernan has founded and led multiple ventures—from a web development agency to IP search tooling—and has deep experience prototyping local LLM deployments, RAG systems, and audio-to-structured-data workflows. His background spans staff and data engineering roles at Clearbit and practical product engineering at startups like Vidmaker, where he designed real-time collaboration and media processing systems. Known for blending agile coding with novel data models, he often surfaces insights by normalizing and enriching messy datasets with LLMs and custom tooling. Based in the Bay Area, he pairs entrepreneurial curiosity with production-grade engineering across backend, data, and ML-adjacent domains.
11 years of coding experience
17 years of employment as a software developer
Master of Science (MS) Electrical Engineering, Master of Science (MS) Electrical Engineering at University of Wisconsin-Madison
Contributions:2 releases, 15 PRs, 23 pushes in 2 years 1 month
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