Summary
Kevin Reilly is a senior software engineer and architect with over two decades of experience building high-performance systems in trading, eDiscovery, and enterprise healthcare. He blends deep algorithmic expertise in information retrieval, text analysis and quantitative programming with hands-on proficiency in C++, C#, PERL, .NET and Lucene to deliver scalable, multi-tier architectures. Kevin has led engineering and professional services teams, managed remote developers, and driven product strategy from technical design through deployment at firms from Morgan Stanley to Northwell Health. Notable projects include architecting a distributed eDiscovery processing platform, a multi-database symbology engine supporting millions of financial instruments, and low-latency document clustering and summarization engines. With a PhD in Physics and coursework in AI and data science, he brings a research-driven mindset to pragmatic system design and performance optimization. He is based in New York and known for turning complex data problems into production-ready, auditable solutions.
13 years of coding experience
35 years of employment as a software developer
Ph.D, Physics, Ph.D, Physics at New York University
Intro to Data Science, Intro to Data Science at Udacity
Certificate, CS188.1x: Artificial Intelligence, Certificate, CS188.1x: Artificial Intelligence at edX/BerkeleyX
BA, Physics/Math, BA, Physics/Math at Boston University