Email: toshibaalexander@gmail.com
Current Status: See you @ JuliaCon 2025, Pittsburgh, PA
Software engineer with broad experience in multiple industries from Finance, IT to Aerospace and R&D.
I develop back-end applications in C++, Julia and Python and avid Generative AI optimist.
My main research interests are developing algorithms and systems that can scale to large problems because that's what enables solutions to deliver real-world impact.
Outside of work I enjoy travelling, photography and just applying mathematics to solve the most challenging problems.
Consider running example applications locally by cloning from my repo @ GitHub or using Google Colab Colab
Planned In-person at JuliaCon 2025, Pittsburgh, Pennsylvania
Primal-Dual Interior Point method Conic optimization solver for large scale and real-time embedded applications.
GitHubPresented In-person at JuliaCon 2024, Eindhoven, Netherlands
Developing optimization methods for robust obstacle avoidance.
GitHubPresented In-person at JuliaCon 2023, Cambridge, Massachusetts
This dashboard application can be used to further research into the application of compressed sensing techniques in magnetic resonance imaging using isometric and anisotropic filtering via the Split-Bregman method.
Presented at JuliaCon 2023 Cambridge, MA
YouTube | GitHubThis demo application helps better understand how an unscented kalman filter can be tuned to estimate flight trajectories.
Boeing
Brisbane, Australia
Worked across several projects from developing scheduling optimization software, building database and distributed systems and mobile web applications for factory mechanics.
Programming Languages: C++, C#, Go, Java, Python, Typescript
Suncorp Group
Brisbane, Australia
Streamlining data-driven systems used in pricing optimization.
Programming Languages: SAS