WORK EXPERIENCE

Feb 2024-Sept. 2024: Gaining hands-on experience in understanding company policies for building safe and reliable AI systems, researching new AI models and tools, testing AI products, and building POCs using Azure OpenAI service.

Aug 2023 - Present: In my role as a GTA, I mentor students in understanding and applying advanced programming paradigms with a focus on Haskell and JavaScript, fostering a deep understanding of functional and scripting languages. I taught Algebra 101 to over 60 students.

Aug 2023-Present: Actively engaged in developing a cutting-edge machine learning model to segment drivers based on a range of psychological parameters. This ongoing research aims to pioneer a new approach to understanding driver behavior, potentially leading to enhanced road safety and more personalized driver assistance systems: (Using Machine Learning to Classify Driver Behavior from Psychological Features: An Exploratory Study. -> Accepted for presentation at the Transportation Research Board 2025 Annual Conference)

June 2023- Present: In my role as Chapter Lead at Omdena, I directed a data-centric approach to analyze crime patterns in Kansas, providing key insights for crime prevention and enhancing community safety. I managed a cross-functional team, fostering a collaborative environment focused on data-driven solutions to understand and effectively address crime trends across the state.

Jan 2023 - Mar 2023: Improved public access to healthcare information in the Los Angeles metropolitan area, by creating user-friendly application on Streamlit that visualize critical data from open-source datasets, in a collaborative multicultural team environment at Omdena's LA local chapter. Applied clustering models to Tuberculosis data to identify local government areas (Kaduna, Nigeria TB cases from 2019–2023).