AI/ML Software Engineer at Hewlett Packard Enterprise

Led large-scale refactor enabling users to configure and launch multiple Redis databases for HPC and AI applications, introducing a name-based approach for identifying and connecting to databases. Designed and implemented a framework within the open-source Smartsim HPC/AI library enabling inspection of properties of hybrid HPC/AI workflow components (e.g., workload manager settings, large ensemble configuration, compute resources). Reduced user development time and improved efficiency of HPC resource utilization. Ensured compatibility across a variety of HPC systems and workload managers (Slurm, PBS, LSF); templating to ensure reusability, maintainability, and consistency of style. Internship project: derived technical requirements from data format standards to convert HPE SmartRedis proprietary data sets to common formats such as VTK, NetCDF, HDF5, and Xarray; implemented prescriptive methods in C, C++, Fortran, and Python to convert simulation data into a broadly used community forma

Marine Science Programmer at Fisheries and Oceans Canada

Processed real-time and delayed-mode glider data for the Canadian-Pacific Ocean Observing Facility (CPROOF), improving visualizations of collected data. Developed and maintained the CPROOF website, distributing quality-controlled data and visualizations using NetCDF, YAML, Python, Node.js, and Jinja. Established metadata, naming conventions, and file types, significantly enhancing data quality and usability for end-users.