Hello, I'm
AI Research Fellow at Algoverse • Researching ML for wildfire prediction & medical imaging at Texas State University • Building intelligent systems that make a difference.
.jpg)
I'm a Computer Science student and AI researcher with a passion for solving complex real-world problems through machine learning and elegant code.
Selected globally as an Algoverse AI Research Fellow in a program directed by OpenAI and Meta researchers. Currently conducting cutting-edge research in wildfire prediction and medical imaging AI at Texas State University.
I love algorithms, books, arts, and music. My journey in tech is driven by curiosity and a desire to create meaningful impact through technology.
B.S. Computer Science (Computer Engineering) | Honors College
Expected Graduation: May 2027
Selected among top students worldwide for a prestigious research program directed by OpenAI and Meta scientists. Working under mentorship to develop impactful AI research.
Developing a deep learning pipeline for wildfire ignition risk modeling in California using multi-source remote sensing data (MODIS, GRIDMET, NLCD) and event-based cross-validation.
Developed AI models for osteoporosis screening using facial panoramic radiography images.
Osteoporosis screening using EfficientNet and CNN on facial panoramic radiography images. Achieved 94% accuracy with ResNet-18 on 750 X-ray images.
Deep learning pipeline for wildfire ignition risk modeling in California using U-Net and multi-source remote sensing data (MODIS, GRIDMET, NLCD) across 50+ fire events.
I'm always open to discussing new projects, research collaborations, or opportunities to create impact through AI and technology.