About

I am a Ph.D. candidate in Computer Science at Missouri University of Science and Technology, advised by Dr. Sanjay Madria. My work sits at the intersection of AI, computer vision, and visual localization.

I build robust, passive localization systems for GPS-denied environments – combining deep learning with geometric reasoning to enable accurate positioning without GPS or RF infrastructure. My research has applications in autonomous navigation, robotics, and defense.

Selected Publications

• IEEE WoWMoM 2025
• IEEE WoWMoM 2024
• IEEE AIPR Workshop 2023

1st Place, Intelligent Systems Center Poster Competition

Skills

Languages: Python, C/C++, Bash, R, JavaScript, SQL Frameworks: PyTorch, TensorFlow, MMCV Tools: Git/Github, Hugging Face, Linux, Docker, HPC Cluster, Shell Scripting, Jupyter, NumPy, Pandas, Matplotlib Domains: GPS-Denied Localization, Computer Vision, Machine Learning

Teaching

Graduate Teaching Assistant & Lab Instructor for Data Structures, C++ Programming, Python Programming and Cloud & Big Data Systems at Missouri S&T.