Summary
Jay Kim is a Senior A.I. Engineer with 10 years of experience building production-grade ML and GenAI systems, currently leading AI innovation for energy-efficient commercial refrigeration at Axiom Cloud. He combines deep expertise in LLMs, multi-agent systems, RAG, federated and decentralized learning, and edge AI with hands-on experience in model fine-tuning, inference optimization, and real-time IoT solutions. Jay has taken cutting-edge research into production across startups and utility sectors—designing multimodal agents, quantized inference pipelines, and sustainability-focused predictive models. A graduate of Imperial College London, he pairs rigorous academic training with practical wins like high-confidence failure prediction for industrial sensors and end-to-end GenAI stacks built at Devolved AI. Notably, he bridges cloud-native architectures (AWS/GCP/Azure, Databricks, Snowflake) and low-latency edge deployments, making him effective at both R&D and operationalizing AI at scale.
10 years of coding experience