Research
Aditya Sugandhi volunteered with the PULSE Lab while completing a master's degree at Florida State University. Aditya set up continuous-integration workflows for the lab's shared Earth, ocean and atmospheric science utilities (library-eoas-utils) and added user-interface support to the NeSPReSO API, the service that delivers the lab's neural-network synthetic temperature and salinity profiles.
Background
Aditya earned a master's degree at Florida State University (2022–2024), with coursework in data mining, software engineering, advanced databases and bioinformatics. Aditya now works as a software engineer building production AI infrastructure and platforms.
Software and methods
Python, CI/CD workflows, web APIs and user interfaces, and AI infrastructure.