● Architected relational database design in SQL Server and wrote interfacing PHP code to manage user configurations and workflows for warehouse employees across the global distribution and logistics network.● Developed highly-performant RESTful APIs as part of the service layer powering an Android application (Nexus) used to trackthe movement and status of warehouse items throughout a facility.● Drove platform-wide refactoring effort to untangle complex monolithic legacy code and decrease technical debt. Revampedkey feature focused on handling task and item assignment, prioritizing organization, naming, and code quality.● Served as team subject matter expert for core data model. Enforced data normalization to minimize redundancy in DB layer.● Monitored system alerts, implemented bug fixes, and articulated resolution timelines and issue summaries to users, productmanagers, and business stakeholders as part of team’s criticals rotation.● Led investigation into algorithmic solutions to increase the efficiency of employees’ pathing through a warehouse. Pitched dynamic programming, greedy, and branch-and-bound algorithms, explaining how each fits in a supply chain context.

● Developed key features for a startup focused on building the Threat Stack Linux Agent, a proprietary tool used to collect user, process, network, and file activities from an operating system while simultaneously monitoring for security threats.● Refactored components of a legacy Node.js codebase into modular, high-performance Golang code. Interfaced with C++/Linux event distribution layer and built a dynamic data processing engine in Go to filter and curate event data.● Performed root cause analysis in diagnosis and resolution of low-level C++ bugs. Identified memory leaks and data loss issues that, upon researching the kernel’s auditing system, were caused by flaws in both memory management and theasynchronous nature of the pipeline.● Wrote and tested Golang code to organize and disseminate multiple types of audit data to Threat Stack’s Kubernetes-powered cloud platform. Reviewed teammates’ related code and provided prompt, constructive feedback.● Utilized KitchenCI to QA version releases, vet new features, run regression tests, and verify that Agent behavior was consistent across all operating systems.

● Iterated on real-time distributed systems in a C++ radar application using MPI and OpenMP.● Spearheaded evaluation of custom CUDA code against ArrayFire, a third-party library, to identify an optimal solution for radar calculations. Upon investigation, ruled out ArrayFire due to poor performance and long-term maintainability concerns.● Experimented with multiple strategies for distributing data across nodes within the radar processing chain in an effort to boost calculation speed and minimize risk of performance or functional regressions.● Documented and presented in-depth benchmarking analysis. Made system-wide recommendations to take greater advantage of parallelism and leverage existing hardware efficiently.● Crafted in-depth testing plan in collaboration with development team to validate proprietary communication middleware.