Summary
Anton Citko is an AI Architect with eight years of experience designing and deploying generative AI and automation solutions for enterprise clients, now based in Culver City. He blends deep expertise in NLP, statistical modeling, and cloud-native deployment to build high-impact tools—from virtual agents and OCR-enabled RAG systems to risk-scoring models—that have cut manual work by orders of magnitude. At KPMG he led multiple productionized healthcare and financial AI projects, including a breast cancer surgery intake RAG app and a medical labeling system that reduced label creation from hundreds of hours to minutes. Comfortable across Python, R, Azure, and prompting/deployment frameworks, he focuses on pragmatic, measurable outcomes that integrate smoothly with client workflows. Notably, he pairs hands-on engineering with client-facing facilitation—running workshops and iterative feedback sessions to refine prompts and adoption. He brings a statistician’s rigor from UCLA and a track record of turning complex regulated-domain requirements into reliable, auditable AI solutions.
8 years of coding experience
5 years of employment as a software developer
University of California, Los Angeles