

Graduate student in Data Science at Old Dominion University with a specialization in Artificial Intelligence and Machine Learning, focusing on Reinforcement Learning and Generative AI. Experienced in both research and applied projects, including medical video captioning, surveillance systems, and intelligent agent development using frameworks such as LlamaIndex. Certified in LLM Engineering with strong proficiency in Python, deep learning, and language model integration. Interested in leveraging AI across domains such as education, healthcare, finance, and HCI. Thrive in research-oriented and product-driven environments, with a commitment to staying current through platforms like HuggingFace and Vellum.
Co-authored a peer-reviewed research chapter published by Springer (2026) titled “CrowdISEntrY: Intelligent Object Entry-Exit Counting Framework and Comparative Analysis in CCTV and Drone Surveillance Systems,” focusing on deep learning–based surveillance using YOLOv8 and DeepSORT for real-time object detection, tracking, and performance evaluation across CCTV and drone footage.