- Designed neural network sequence-to-sequence models using TensorFlow, achieving over 99.95% accuracy in predicting and formatting over 2 million unique network circuit IDs to be used in 18 inventory systems, and then wrote model results to the Oracle Database- Won 1st place in the nationwide innovation challenge, proposing to add expansive language support to AT&T call centers using OpenAI Whisper and MyShell Open Voice, aiming to reduce wait times by up to 30 minutes and save up to $19.32 per call on operational costs- Presented individual and team project outcomes to AT&T Leadership including the CTO, as a result of winning 1st place

- Working on the creation of a device focused on the early detection of preeclampsia, a critical maternal health issue, in underprivileged communities within Ethiopia- Spearheading the development of a machine learning algorithm which uses blood level readings from a PPG device and PCA/PLA (principal component analysis) parameters to identify the most predictive data points for data analysis with scikit-learn, with the goal of achieving a 80% increase in the accuracy rate of early preeclampsia detection- Currently engaged in the integration of a sensor which will enable data polling for the R-Peak Algorithm to optimize measurement timings, potentially reducing response times by 50%

IT Developer Intern- TF Holdings May 2023 - August 2023- Designed and implemented APIs and intuitive UI layers, resulting in a 30% increase in data analysis efficiency, which significantly improved the precision of business insights crucial for customer account auditing- Executed 12 mini-projects encompassing both front-end and back-end aspects, fostering a comprehensive grasp of intricate C#, .NET, and ASP.NET MVC principles and code structures- Attained a profound understanding of the operational dynamics within a financial technology corporation, meticulously observing the Software Development Life Cycle (SDLC) in tandem with an Agile methodology- Collaborated adeptly with cutting-edge technologies, including Microsoft Azure, Visual Studio, .NET, C#, HTML, Microsoft SQL Server Management Studio, and RESTful APIs, contributing to the development and optimization of integrated systems, which led to a 15% reduction in system response times

Configurable Computing and Embedded Systems VIP Jan 2023- Engaged in a collaborative endeavor at Georgia Tech, dedicating 50+ hours to the development of high-assurance embedded sub-systems, specifically focusing on the creation of a comprehensive open-source voting machine- Actively contributed to the Peripherals subteam, orchestrating crucial elements that ensured the seamless functionality of the project, resulting in a 15% improvement in project testing efficiency- Dedicated to learning Verilog, a pivotal hardware description language, while learning about and skillfully handling the integration of the PWM timer