Summary
Carter Jiang is a Senior AI Engineer in Seattle with 10 years of experience building production-grade generative AI and large-scale cloud systems. He combines a Cornell CS master’s background with hands-on impact at AWS—delivering high-throughput ETL and recommendation systems, cutting latency and cloud costs, and turning RAG prototypes into seconds-fast investigation tools. At ProfitSolv he now leads AI technical authority and governance, architecting transactional AI, data foundations, and automated agents with enterprise-grade security and guardrails. Carter’s work blends deep-model evaluation (human rubrics, hallucination detectors) with pragmatic engineering—elevating research ideas into resilient, measurable products. A previous winner of an EPA data challenge, he brings a rare mix of algorithmic rigor and ops-minded scalability to AI deployments.
10 years of coding experience
9 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Cornell University
BS, Computer Science, BS, Computer Science at University of Massachusetts Amherst
English, Chinese