Summary
Sohil Shah is an experienced distributed systems architect and OSS founder with 16 years building production-grade, Kafka-centric data platforms and real-time pipelines. He leads BraineousAI, an open-source project that delivers deterministic, replay-safe processing models and policy-gated execution to safely integrate LLM outputs into enterprise workflows. His background spans mission-critical systems at GE Aviation and middleware work at Red Hat and IBM, emphasizing auditability, observability, and fault-tolerant design. Sohil favors contract-driven modules, strict testing discipline, and container-native deployments to keep systems deterministic under high concurrency. He combines deep Java/Quarkus and Kafka expertise with a pragmatic focus on long-term architectural clarity over short-term feature velocity. Based in Memphis, he quietly specializes in turning non-deterministic AI behavior into auditable, replayable enterprise processes.
16 years of coding experience
15 years of employment as a software developer
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at Christian Brothers University