Spencer Aiello is a seasoned software engineer with 13 years of experience building high-performance distributed systems and ML infrastructure across companies from H2O.ai to Meta. He has deep expertise in in-memory big-data processing, productionizing ML pipelines, and low-level performance optimizations—authoring fast distributed random forests, a Lisp-like Rapids transform language, and cross-JVM serialization improvements. His career spans startups and hyperscalers (Neurensic, Discord, Instagram, Gather) where he’s shipped full-stack products, custom DSLs, and language kernels (including an R Jupyter kernel published to CRAN). Based in New York, he pairs rigorous mathematics and physics training with practical engineering, often solving tricky race conditions and squeeze-out performance problems most teams avoid. He’s also a long-time open-source contributor with a track record of shipping language bindings and client libraries used by thousands of data scientists.
12 years of coding experience
10 years of employment as a software developer
Master of Science (M.S.) Analytics, Master of Science (M.S.) Analytics at University of San Francisco
Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, GBM, GLM...)
Contributions:30 pushes, 9 branches in 1 year 10 months
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