Building AI That Heals, Grows, and Innovates
I build AI-powered tools that turn healthcare data into actionable insights—because whether it's saving lives or growing food, data should work for us. With a mix of machine learning, computer vision, and biotech, I turn complex problems into elegant (and kinda cool) solutions. When I’m not wrangling data or coding, you’ll find me lost in a book, tinkering with side projects, or geeking out over the latest tech that’s pushing boundaries.
A powerful tool that simplifies and optimizes complex polygon annotations in COCO format datasets. Developed during a seed germination classification project to transform noisy, automated annotations into clean, efficient polygons while reducing vertex count by 60-90%.
An AI-powered mental health chatbot designed specifically for students. Using advanced natural language processing and empathetic response systems, SpyderCare provides accessible support for common student mental health challenges.
A deep dive into how SARS-CoV-2 coinfections influence viral evolution through next-generation sequencing insights. This research explores the complex relationships between multiple infections and their impact on viral mutations and patient outcomes.
An analytical exploration of rice genetic diversity using TASSEL GBS and SNP data. By leveraging computational techniques to analyze genetic variations across rice varieties, this project provides valuable insights for agricultural improvement and biodiversity conservation.
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