Research notes, technical deep dives, and project-based analyses in AI, data, and computing.
<aside> 🍄 This is a collection of my technical write-ups and research-focused articles. I use this space to break down topics in AI, data analysis, systems, and applied computing through experiments, case studies, and structured explanations.
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Presented at the 28th Annual Student Research and Creative Endeavors Symposium at Purdue Fort Wayne
About Me and This Work
I am a Computer Science student with an interest in artificial intelligence, data analysis, and system design. These write-ups reflect how I approach learning by breaking down concepts, testing them through experiments, and analyzing their real-world behavior rather than just studying theory. Through topics like prompt engineering, data visualization, and llms, I focus on understanding not only what works, but why it works and where it fails. This collection represents an evolving body of work that documents my curiosity, problem-solving approach, and commitment to building deeper, practical insights across computing systems.
— Shreya Komarabattini
[<https://shreyakb.com>](<https://shreyakb.com/>)
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These are my thoughts, experiences, and insights. I hope you find the content helpful and insightful.
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