My industry experience spans organizations of various scales, from YCombinator-backed startups to established enterprises. At Arkham Technologies, I engineered context-aware behavior and managed Gemini workflows for a production AI agent serving 100+ weekly users. On the ML platform side, I designed parallel training workflows scaling horizontally across EMR clusters, and owned CI/CD pipelines for unit packages, monorepos, and infrastructure layers\u2014including building custom EMR Docker images with rigorous cybersecurity testing. At MXAI I founded a consulting practice shipping RAG pipelines and AI agent MVPs. Previously at Kuona I tuned PyTorch RNNs for enterprise retail forecasting, and at Entrop\u00EDa AI I built ETL and RAG pipelines that raised QA accuracy from 8% to 72%. I specialize in bridging rigorous mathematical foundations with robust engineering to build production AI systems. Also I love tinkering with new technologies, currently exploring Rust for performance-critical ML tasks and obviously Typescript with Next.js for this portafolio.