Erik Andersen is a software engineer with a decade of experience building production ML and NLP systems, blending a formal background in computational linguistics (MS, Brandeis) with a BS in computer science. He’s shipped language-first products across industry and academia—from training Danish NER and phonemic translators for Siri at Apple to designing NLP bootcamp courseware for CMU-affiliated programs. Recently focused on agentic LLM applications in healthcare, he integrates tools like LangChain, LangGraph, and vector stores with Google Gemini and Anthropic models to maintain robust memory and code correctness. Comfortable across Python, TypeScript, and cloud/serverless stacks, he’s known for pragmatic optimizations (3x speedups in production pipelines) and for translating linguistic insight into reliable ML engineering. Based in Redwood City, Erik combines deep language expertise with applied prompt engineering and a knack for reducing QA friction through automation.
10 years of coding experience
2 years of employment as a software developer
The Harker School
University of California Santa Cruz
Master of Science - MS Computational Linguistics, Master of Science - MS Computational Linguistics at Brandeis University
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Erik Andersen - Software Engineer at Stealth Startup