Sophomore CS Major at Purdue University | Quantum Computing Enthusiast | AI/ML Developer
Passionate about leveraging technology to solve complex problems in quantum computing, artificial intelligence, and educational technology.
I'm a sophomore Computer Science major at Purdue University with a deep interest in quantum computing, artificial intelligence, and educational technology. My journey in tech began with curiosity about how quantum mechanics could revolutionize computing.
Currently pursuing my degree while actively engaged in research and development projects. I believe in the power of technology to create meaningful impact, whether it's through quantum algorithms, machine learning models, or educational tools.
When I'm not coding or researching, you'll find me volunteering in educational initiatives, exploring new programming languages, or diving deep into quantum mechanics papers. I'm always eager to learn and collaborate on exciting projects.
International Journal of Innovative Science and Research Technology (IJISRT), vol. 4, no. 254, 2024, pp. 2909-2918
This research examines the impact of ChatGPT on teaching methodologies in English departments across various Loudoun County Public Schools (LCPS), analyzing how educators have adapted their approaches to incorporate AI tools while maintaining educational integrity and effectiveness.
Research Focus: Quantum Computing & AI
Investigating how quantum algorithms, particularly the quantum approximate optimization algorithm (QAOA), can improve the effectiveness and performance of artificial intelligence optimization tasks compared to standard classical methods. Analyzing the limitations and challenges of implementing hybrid quantum-classical models in practical applications.
Engineered and tested a secure sandbox environment to execute user-submitted code and validate outputs against expected results from structured JSON test cases. Enhanced code evaluation workflows by integrating automated output matching and error handling, contributing to scalable and reliable academic integrity tools. Built interactive educational tools and implemented machine learning features for personalized learning experiences.
Engineered a full-featured Streamlit dashboard for Tree Lafayette using Python and Plotly, enabling real-time analysis of urban tree survival, planting trends, and site-level statistics. Implemented modular data pipelines and interactive UI components to support CSV/XLSX uploads, dynamic visualizations, and correlation tools for scalable environmental data tracking.
Conducted data analysis using R and Python within Jupyter Notebooks, examining large datasets to extract meaningful insights that supported data-driven decision-making processes. Applied advanced statistical methods and data visualization techniques to detect trends and patterns, enhancing the effectiveness of research outcomes and facilitating informed decision-making.
Developed and tested software applications using Java and Python, enhancing functionality and performance to meet project requirements. Collaborated with cross-functional teams to research, analyze, and document system requirements, ensuring alignment with business objectives and facilitating seamless project execution.
Collaborated with cross-functional teams to develop comprehensive social media strategies, leveraging data analysis to enhance public engagement and outreach efforts. Conducted in-depth research on industry trends and competitor strategies, utilizing data-driven insights to inform decision-making and policy development.
Acquired foundational knowledge in quantum mechanics and linear algebra to comprehend qubit behavior, enhancing the ability to develop and implement quantum algorithms effectively. Authored and published insightful articles on quantum computing topics on LinkedIn, demonstrating the ability to communicate complex concepts to a broader audience.
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