I’m Conner Groth, a software engineer who loves turning messy, manual workflows into reliable automation—especially when it involves tests, agents, and real production constraints. At Apple, I built an agentic system that generates, runs, and repairs XCTest cases from manual plans, and I helped scale test coverage so engineers could move from hours of work to quick triage.
Beyond that, I enjoy creating end-to-end products and data pipelines. I’ve led full-stack development for an AI-assisted synthetic-bio curation tool in academic research, helped ship a real-time messaging/analytics platform, and built scalable AWS serverless processing for large review datasets. I’m currently focused on building systems that are fast, observable, and maintainable—while still delivering measurable impact for the people who use them.
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