Summary
Peter Hagenson is a software engineer blending eight years of experience with a decade of prior teaching to build production-grade AI and full‑stack systems. He specializes in Node.js, React, TypeScript, AWS, and applied generative AI patterns—RAG, prompt engineering, and LLM APIs—delivering real‑time, LLM‑backed UIs and resilient microfrontend architectures. At Travelers he has shipped contact‑center AI features, realtime WebRTC transcription POCs, and serverless APIs while leading migrations to Kafka and AWS and mentoring new engineers. Previously he built a curriculum‑focused GenAI platform that optimized cost and latency via token tracking, prompt caching, and batched prompt chains. Known for clear communication and cross‑discipline collaboration, he leverages his classroom background to align teams around purpose while turning complex business problems into scalable technical solutions.
8 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree, Bachelor’s Degree at Lewis and Clark College
Master's Degree, Master's Degree at Hamline University
Full Stack Software Engineering Certification, Computer Software Engineering, Full Stack Software Engineering Certification, Computer Software Engineering at Prime Digital Academy