Summary
Stephen Furlong is a Principal AI/ML Solution Architect and practice leader with 12 years of enterprise technology experience building cloud-native AI platforms and data pipelines that deliver measurable ROI across healthcare, biotech, manufacturing, legal tech, and energy. He combines deep hands-on AWS expertise—SageMaker, Bedrock, EKS, HPC, S3, IAM and large EC2 fleets—with proven program and product leadership from startups to large vendors like Oracle and AWS. Stephen has led GenAI and ML platform efforts for drug-discovery at Odyssey Therapeutics and now helps enterprises operationalize scalable ML and GenAI as an AWS Partner at Cloudelligent. Known for translating complex technical requirements into pragmatic roadmaps, he also brings GTM and pre-sales chops that have driven multimillion-dollar wins and enterprise migrations. Based in Washington, DC, he pairs research-grade infrastructure experience (HPC, SLURM, LIMS) with a track record of scaling teams and platforms for high-throughput scientific and commercial ML workloads.
12 years of coding experience
21 years of employment as a software developer
Johns Hopkins University
BS Computer Science Mathmatics, BS Computer Science Mathmatics at Longwood University