Summary
Sean Reed is a Senior Software Engineer specializing in generative AI who translates research into production-grade LLMs, AI agents, and high-performing RAG systems across indexing, storage, retrieval, synthesis, and evaluation. With 11 years of experience and a strong cloud pedigree (multiple Azure certifications and prior AWS certs), he designs end-to-end architectures that balance latency, throughput, and model evaluation while operationalizing fine-tuned models on specialized infrastructure. He has led multi-agent orchestration for voice AI integrations, built Python SDKs for real-time ordering workflows, and delivered clinical and retail ML systems that materially reduced latency and unlocked new business value. Comfortable with academic literature and fluent in Python and SQL, he pairs an NYU master’s in economics and a physics undergraduate background with hands-on MLOps, Ray/Spark deployments, and private-vector-store RAG implementations. Outside work he writes science-and-technology picture books for kids, a creative thread that underscores his ability to communicate complex ideas clearly.
11 years of coding experience
9 years of employment as a software developer
Master's degree, Economics w/ Minor in Statistics, Master's degree, Economics w/ Minor in Statistics at New York University
B.S., Physics, B.S., Physics at Fordham University