Summary
Dan Simmons is a founding engineer and full‑stack systems architect with 14 years building high-throughput, distributed systems for startups and finance. He designs and ships scalable streaming ETL, microservices, and ML-powered pipelines using a polyglot toolset (Golang, Clojure, Python, Scala) and infrastructure like Kafka, Cassandra, Kubernetes, and Spark. As Wingman CTO he led product strategy from 300+ customer interviews and built a crawler indexing 500M+ profiles plus a DAG-based image/ML processing pipeline with human-in-the-loop correction. He’s consulted on automated trading systems, integrating execution APIs and quant workflows, and holds security certifications (CEH, Security+) that inform his operational rigor. Based in Boulder, he combines hands‑on engineering with product sensibility and an active interest in open source, systems performance, and quantitative finance. An endurance-minded technologist, he balances engineering with fitness and investing hobbies that reflect a data-driven, disciplined approach to problem solving.
14 years of coding experience
11 years of employment as a software developer
Bachelor's Computer Science Finance, Bachelor's Computer Science Finance at Georgia Institute of Technology