Summary
Gary Malouf is a seasoned engineering leader and CTO with 13 years of experience building high-performance distributed systems and ML platforms, now advising at MADTECH.AI while leading Algorand’s technical strategy. He has repeatedly driven blockchain and real-time systems to production scale—raising sustained TPS from 5k+ to 12k+ and delivering features like P2P parallel networking and quantum-secure state proofs. Prior roles at Wayfair and OfferLogic showcase his ability to operationalize petabyte-scale data pipelines, real-time decisioning, and ML model deployment across multi-region environments. Gary combines hands-on architecture (Scala, Spark, streaming systems) with product-focused execution, and he frequently advises teams on leveraging AI and choosing pragmatic roadmaps as they scale. Based in Boston, he pairs an applied mathematics and operations research background with a track record of shipping resilient, low-latency systems that power revenue-critical experiences.
13 years of coding experience
12 years of employment as a software developer
B.S. Applied Mathematics, B.S. Applied Mathematics at Marist University
M.S. Operations Research, M.S. Operations Research at Northeastern University