Summary
W Hilliard is a software engineer based in Redmond with 10 years of experience building high-performance ML and distributed systems, currently architecting compute-centric microservices at Microsoft. He designs end-to-end platforms—from neural network optimization frameworks and distributed model-parallel training to ETL pipelines and API-driven control planes—for on-prem, cloud, and hybrid environments. His background includes speeding data ingestion 50x, reducing Lucene search complexity from O(n^2) to O(n), and tuning hardware, storage, and OS stacks for latency-sensitive ML workloads. At AnomalousDL he led the ADLKit platform for live AI-powered network intrusion detection and built the underlying HPC cluster and CI/CD systems. Known for rapid prototyping and pragmatic engineering, he combines deep systems knowledge with data-driven experimentation to turn research ideas into production. He also jokingly summarizes his GitHub persona as specializing in “brake points and break points,” reflecting a playful attention to performance and debugging.
10 years of coding experience
5 years of employment as a software developer
Grapevine High School
Bachelor of Science (BS), Software Engineering, Bachelor of Science (BS), Software Engineering at The University of Texas at Arlington
English