Biography

Software engineer, software architect, and production engineer with over three decades of experience specializing in the design and construction of mission-critical, high-performance parallel and distributed systems, as well as machine learning (ML) pipelines.

Provided architectural guidance, software design engineering, and technology trend analysis to Fortune 500 companies. Led initiatives spanning system performance remediation, cloud migration, and scalable infrastructure design.

Responsible for designing and developing machine learning (ML) pipelines for training and inference. Led the design and development of a data analytics and insights platform for research and creating relational and non-relational durable storage schemas for use in transactional applications, data lakes, data warehouses, and data marts.

Nearly six years spent at Microsoft Corporation as a principal member of the Distributed Systems Group, working on Microsoft Windows Server. Designed and developed core algorithms for the Microsoft Active Directory service, contributing to the release of Microsoft Windows 2000 Server.

Following Microsoft, focused on advanced research and strategic consulting for high-profile clients. Work emphasized performance remediation for latency-sensitive workloads and secure migration of legacy systems to cloud-native platforms.

Current research interests include parallel and distributed systems, cryptology, cybersecurity threat modeling, and the application of machine learning in cyber-physical systems. Active areas of exploration include the design of secure architectures, autonomous agents, adversarial ML, and the intersection of behavioral science with digital threat detection.