Summary
Mark Laney is a Curriculum Principal Architect with nine years of experience translating advanced AI, data science, and big data engineering into practical learning programs at Elastic. He designs and rapidly delivers instructor-led and on-demand courses—most notably a 4-day Search AI course and widely attended NLP and Quantum Computing workshops—bridging cutting-edge research and hands-on labs using Python, Elasticsearch, LangChain, PyTorch and Qiskit. Previously at Hortonworks he was Instructor of the Year and a President’s Club honoree, reflecting deep expertise in Hadoop, Spark, and distributed systems that informs his curriculum and consulting work. His background spans high-impact industry delivery—from architecting a patented ad platform at Comcast that still generates substantial revenue to early space-systems simulation work—so he blends enterprise-scale system thinking with pedagogy. Based in Colorado, he’s an active AI educator and practitioner who builds reproducible labs and demos (100+ slides and real quantum runs) to make emerging tech immediately usable. An uncommon strength is his ability to move from low-level systems and algorithmic work to customer-facing training that accelerates adoption of complex AI and search technologies.
10 years of coding experience
19 years of employment as a software developer
BS Engineering Physics, BS Engineering Physics at University of California, Berkeley
Course, Course at andrew NG
MS & ME Aerospace Engineering and Interdisciplinary Telecommunications, MS & ME Aerospace Engineering and Interdisciplinary Telecommunications at University of Colorado Boulder