Jim Bonant | AI/ML Infrastructure & MLOps Engineer

Jim Bonant | AI/ML Infrastructure & MLOps Engineer ABOUT I build the infrastructurethat makes AI reliable. Senior AI/ML Infrastructure Architect and MLOps Engineer with 13+ years designing, deploying, and optimizing scalable hybrid cloud and on-prem AI platforms. I specialize in production LLM serving, Retrieval-Augmented Generation (RAG) systems, vector databases, and custom LLM solutions in Python, Rust, and C++. I’ve led MLOps transformations that delivered 70–80% faster deployments, 99.99% uptime, and substantial cost and performance gains across enterprise environments. Currently running my own expermintal platform Naturally Artificial of Pennsylvania, I architect bare-metal and containerized LLM inference platforms and containerized AI products that power real customer workloads at scale. Previously I led machine learning teams at PNC and drove major containerization and CI/CD initiatives at BNY Mellon. GitHub ML OPS↗• 13+ YEARS IN PRODUCTION AI & DEVOPS 99.99% UPTIME ON CRITICAL PLATFORMS 4× DEPLOYMENT VELOCITY IMPROVEMENT 100k+ DAILY INFERENCES SUPPORTED CAREER Experience March 2026 — Present Naturally Artificial of Pennsylvania Senior AI/ML SecOps & Platform Engineer Architecting and deploying scalable hybrid bare-metal LLM inference platforms integrated with containerized applications and APIs. Supporting 100k+ daily inferences with sub-500ms latency (3× speedup). - •Designed and led end-to-end MLOps + DevOps CI/CD pipelines (Jenkins, GitLab) for full-lifecycle model deployment and monitoring. - •Built custom RAG systems including the S.A.R.A. executive AI agent and domain-specific variants achieving 95% retrieval accuracy. - •Engineered complete infrastructure stack with comprehensive AI/ML SecOps (zero-trust, vulnerability scanning, encryption, AI-powered security gates). - •Currently operating live multi-cloud environments on AWS, Azure, and Google Cloud. - •Deploying highest-availability infrastructure via vLLM, KServe, and G