Summary
Josh Wheeler is a systems engineer based in Austin with a strong track record building high-performance distributed data systems and integrations for security products. He led design and delivery of a streamer that pushes Vectra network metadata to on-prem Kafka/Elasticsearch/Splunk, and previously architected search and indexing pipelines, query parsers with Antlr, and a memory-mapped pub-sub framework that boosted throughput and scalability. Comfortable across Python, Go, C++, Postgres/MariaDB, Elasticsearch and Kafka, he improves latency and reliability by combining query-plan tuning, load simulation, and kernel/db configuration. A Johns Hopkins MS graduate who drove research-speedups of 2–70x in distributed dataflow experiments, he pairs rigorous academic performance with practical product delivery. Notably, he’s moved concepts from PoC to MVP as a lead engineer and has substituted as lead lecturer and head TA for large grad courses, showing both technical depth and teaching ability.
6 years of coding experience
9 years of employment as a software developer
Johns Hopkins University
Bachelor of Science (B.S.), Mathematics and Computer Science (Double Major), 3.6, Bachelor of Science (B.S.), Mathematics and Computer Science (Double Major), 3.6 at University of Maryland
English