Adrian Andrei is an AI Architect with three decades of software experience and a decade focused specifically on delivering production-grade Generative AI and NLP systems. He designs CRM-native, multi-channel conversational agents and dynamic prompt-control frameworks that optimize token use and latency while addressing hallucination through grounding and verification. Comfortable in Java-centric architectures and Python for ML, he has led AI strategy and deployment at enterprises like Unilever and RBC, scaling solutions to millions of users and tens of thousands of support cases monthly. His background spans building Bayesian neural topic detectors, microservice Java platforms, and real-time voice/SMS/chat agents, blending deep systems thinking with pragmatic engineering. Based in Florida, Adrian pairs academic roots in AI with hands-on leadership—often turning research-grade ideas (e.g., highly parallel data structures and heuristic distribution models) into resilient, compliant production systems. Notably, he focuses on measurable business impact: token/latency optimization, CRM workflow integration, and robust hallucination management to make LLM behavior trustworthy in enterprise contexts.
10 years of coding experience
27 years of employment as a software developer
PhD Program - ABD, Highly Parallel Data Structures, PhD Program - ABD, Highly Parallel Data Structures at University of Lille 1 Sciences and Technology
Bachelor's degree, Mathematics and Computer Science, degree in Artificial Intelligence, Bachelor's degree, Mathematics and Computer Science, degree in Artificial Intelligence at Universitatea „Alexandru Ioan Cuza” din Iași
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