Detail-oriented HPC Software Engineer with proven skills in problem solving, machine learning, leadership, and communication. Contributed to research at SDSC and developed innovative solutions for the TAU Commander project, enhancing user experience and fostering integration of advanced technologies.
Worked on DOE funded SBIR project TAU Commander. Improved reach of the TAU profiler to be more user friendly. Responsible for integration of Python support, supporting Chrome browser for trace visualization in the TAU Commander workflow, and initiating tab auto completion of commands.
Worked on ParaTools chatbot that integrates with ChatGPT and Gemini APIs to extract the file contents of responses to programming questions and then places them in new local files in a user's directory, figuring out which file format to use from a back channel conversation with the LLM.
Made promotional videos and advertised Adaptive Computing Inc.'s ODDC cloud software for ParaTools Pro for E4S™: Extreme-Scale Scientific Stack (E4S). Worked on testing of E4S Singularity Containers on NVIDIA H100 and AMD MI300A GPUs to develop and train new machine learning models.
Led team practices, organized travel to compete locally and nationally in USA collegiate competitions. Created custom training plans for each athlete. Planned and managed outdoor climbing trips. Fostered a positive team environment, promoted sportsmanship. Apprenticed and mentored new coaches.
Worked on interacting with organization's API to extract the wildfire simulation's runtime and input data. Analyzed and explored it with machine learning and data visualization tools. Created and fine tuned machine learning models to predict the runtime of simulations based on the input data.