During my time at DEEP, I leveraged my proficiency in Python to innovate and streamline operational processes. Without going in to too much detail due to NDA agreements, my initial project entailed a deep dive into gas properties research, culminating in the development of a comprehensive software tool. This tool, crafted in Python, precisely calculated suitable gas mixtures for varying depths, while simultaneously considering factors like oxygen partial pressure, thermal conductivity, density, viscosity, humidity, and toxicity.
This groundbreaking work on diving gases is set to be published in the Diving and Hyperbaric Medicine journal in 2024, underscoring its significance in the field. I further enhanced the tool by integrating an estimation function, which efficiently predicted the longevity of gas containers under usage. This feature proved invaluable in operational planning and execution.
In my final project at DEEP, I embarked on the ambitious design process of a CO2 sensor for the sentinel project. This endeavour involved designing advanced sensors and developing bespoke software for rapid CO2 level analysis.
My contributions at DEEP underscored my commitment to R&D excellence, combining my technical acumen in Python with a pragmatic approach to problem-solving in high-stakes environments. This experience has honed my skills in not only navigating but also pioneering within the realm of technological innovation.
