I'm a senior Computer Science student at Virginia Commonwealth University, graduating in May 2025, with a passion for Data Science and Software Engineering. My journey has been fueled by curiosity, a love for solving complex problems, and a desire to create impactful technology.

• Data Science Enthusiast: I enjoy uncovering patterns and insights hidden in data, whether it's building predictive models like my NFL Prediction Model or exploring innovative ways to use machine learning for real-world applications.
• Software Engineer at Heart: From developing intuitive front-end applications like a React Color Picker to tackling back-end challenges with databases and APIs, I love building software that’s efficient, elegant, and user-focused.
• Researcher in NLP: As an Undergraduate Research Assistant at VCU’s NanoNLP Lab, I’ve worked with cutting-edge machine learning techniques, expanding support for LLMs and generating synthetic training data for Named Entity Recognition systems.

I thrive in a variety of technical environments and love learning new tools!

• Languages: Python, Java, C/C++, JavaScript/TypeScript, SQL, Swift, Common Lisp, PHP, Lua
• Frameworks & Tools: React, Node.js, pandas, numpy, scikit-learn, OpenCV, Bootstrap, SLURM
• Platforms: Linux (Arch, Mint, Ubuntu), WordPress, Figma

• NFL Prediction Model: An ongoing personal project using Python and scikit-learn to analyze game data, achieving prediction accuracies of up to 59% with SVM.
• Face Detection Research: Investigated the feasibility of DIY home security with Raspberry Pi and OpenCV, focusing on AI accuracy and computational performance.
• RVA Community Fridges: A capstone project leveraging Raspberry Pi's to wirelessly monitor 15 community fridges, managed using an Agile workflow.

I’m passionate about creating technology that bridges the gap between people and data, empowering individuals and communities. Whether it’s developing smarter tools, optimizing processes, or diving deep into machine learning challenges, I strive to make a meaningful impact.

Feel free to send me an email or connect with me on LinkedIn. I’d love to chat about all things tech, collaborate on projects, or just exchange ideas!