I build AI systems that solve real-world problems in agriculture and healthcare. From seed germination analysis to rice variety classification, I bridge cutting-edge research with practical application.
End-to-end object detection pipeline using Mask R-CNN to analyze seed germination patterns. Collected and annotated ~1,000 seed images to automate agricultural research.
Fine-grained rice variety classification using embedding spaces. Utilizes Fast R-CNN for localization and a metric learning pipeline to separate visually similar varieties.
Cloud-based genomics platform for analyzing genetic diversity using PCA and K-means clustering.
Launch App ↗Empathetic AI chatbot for student mental health using NLP and sentiment analysis.
View Demo ↗Analyzing SARS-CoV-2 coinfections and viral evolution using NGS data pipelines.
Read Thesis ↗Genotyping-by-Sequencing (GBS) analysis of 471 rice taxa to identify SNPs and population structure for breeding strategies.
Read Thesis ↗