Nianpeng Li is a Technical Lead with 11 years of experience building high-performance, scalable services across security, news media, and real estate, now focused on applying LLMs to practical enterprise problems. At Google he drives generative-AI efforts for attack detection, incident response, and threat mitigation, bridging research-grade models with production-grade reliability. Previously he led core transaction, accounting, and payments systems at Cadre and developed shared backend infrastructure for Bloomberg.com, demonstrating strength across full-stack and distributed systems. He combines a PhD-level applied-mathematics background with hands-on expertise in Python, Java, TypeScript, Django, NodeJS, React, GraphQL, and AWS, which helps him translate complex models into robust, auditable services. Colleagues rely on him to operationalize LLM experiments—from prompt engineering and evaluation to deployment—bringing measurable automation and efficiency gains to security and enterprise workflows.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Applied Mathematics, Doctor of Philosophy (Ph.D.) Applied Mathematics at Howard Univeristy
Bachelor of Science (BS) Mechanical Engineering, Bachelor of Science (BS) Mechanical Engineering at Beihang University
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