Summary
Daniel Karasik is a Cloud Automation Engineer at IBM with eight years of hands-on experience across AI, cloud, and data science, grounded in a Computer Engineering degree from UC Santa Cruz (3.98 GPA). He builds production-ready automation and RAG-powered document systems, has reduced SOW generation time by 70% using watsonx.ai, and deployed hybrid-cloud architectures integrating LangChain and Milvus. Daniel’s background includes federated learning endpoints, blockchain-backed data transfers, and Kubernetes CI/CD deployments, reflecting a blend of systems programming, networking, and security interests. He tutors computer systems and low-level C/assembly topics, signaling deep familiarity with concurrency and embedded workflows beyond typical cloud roles. A Linux enthusiast and open-source supporter, he combines research experience (co-authoring a drone structural-monitoring paper) with practical engineering to move AI and cloud projects from prototype to production.
8 years of coding experience
1 year of employment as a software developer
University of California Santa Cruz