Currently, I'm the lead software engineer of the contacts team for a CRM company targeting small businesses. I provide technical guidance and mentoring to the team, coordinate feature development across various teams, drive down technical debt, and lead efforts on architecture, features, defect resolution, and on-call responsibilities. I've also contributed to several significant Google App Engine Web services in design, implementation, and testing.Formerly, I was a software engineer at Amazon developing for Seller Central and other seller-related services. I helped design, implement, and scale a critical clustering algorithm for brand identification on big data. I also made numerous Web application enhancements that spanned both the front-end UI work and the back-end database design, frequently relying on various AWS products to store and process data.Before that, I was a senior software engineer for a software company that provided diagnostic and prognostic tools for aircraft engine health management. I designed and wrote various machine learning algorithms for isolating root-cause failures among a multitude of inter-connected engine components. I created false alarm-reduction algorithms for critical system failures in FedEx engines. I also led development on an Intel home energy analytics project. I've worked at Lawrence Livermore National Laboratory writing mission-critical code for multiple in-house software systems. I designed and built an automated pipeline to submit and track a two-and-a-half year backlog of data files, which operated over an SGE cluster and communicated with an Oracle database I designed. I also helped streamline the complex process of short-read DNA assembly.As a research assistant at the Illinois Genetic Algorithms Laboratory at UIUC, I was regularly involved in analyzing and leveraging sophisticated genetic algorithms to model performance scalabilty for difficult problems.