Nikhil Reddy Sareddy

Nikhil Reddy Sareddy is a master’s student in Artificial Intelligence Systems at the University of Florida. He previously worked as an Associate Professional Software Engineer at DXC Technology, where he developed data workflows, applied machine learning models, and built analytics dashboards to improve decision-making. His academic projects include DermAI, a deep learning system for skin disease detection, and YAAZH, a healthcare chatbot published in IRJET that combined rule-based and ML-driven NLP methods. He has also designed recommendation systems and computer vision applications, gaining hands-on experience in end-to-end AI pipelines.

At UF, Nikhil is contributing to projects that integrate computer vision, NLP, and cloud deployment, while focusing on efficient and explainable AI. His research interests include machine learning, computer vision, data science, and intelligent systems that address practical challenges.

Shree Varaa Mangai Venkat Ramanujam

Shree is a Master’s student in Artificial Intelligence Systems at the University of Florida. She works as a graduate assistant in the TEA Lab, where she investigates hallucinations in text-to-video generative AI systems and designs experiments to analyze semantic drift across generation pipelines.

Previously, she conducted research on time series models as a Global People Analytics Intern at Ford Motor Company, building Python ETL pipelines to improve salary cost prediction, and worked as a Software Developer at SpaceScan Ltd., contributing to full-stack development with React.js, TypeScript, and PostgreSQL. Her academic projects span multimodal AI, natural language processing, and generative models, with interests in AI engineering, applied machine learning, and multimodal systems.

Naveen Paladugu

Naveen Chandra Paladugu is a Master’s student in Artificial Intelligence at the University of Florida. Previously a Systems Engineer at Tata Consultancy Services for an year,where he built production Angular applications and built a strong foundation in creating reliable software. His academic projects include REACH, a privacy-first home inventory that detects objects and returns the last-seen snapshot and timestamp in under two seconds. and PAI, a personal LLM request formatter that converts free-text goals into validated prompts/function calls for more consistent outputs.

At UF, Naveen builds AI systems at the intersection of computer vision, LLMs, and cloud-native deployment, prioritizing efficient, privacy, and explainability. His interests include machine learning, computer vision, generative AI , and MLOps that solve practical problems.

Santhi Daggubati

Santhi is a second-year Master’s student in Applied Data Science at the University of Florida. She is a Research Assistant in the Phenomics Lab, where she works on cutting-edge computer vision projects for plant phenotyping using models like YOLO, Mask2Former, and SAM2. Her past experience includes developing full-stack ML applications, fine-tuning deep learning models, and deploying them on cloud and High Performance Computing systems. She is passionate about combining AI, computer vision, and 3D technologies to create impactful solutions in AI, robotics, and AR/VR.

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Yoonki Lee

Yoonki Lee is a Master’s student in Applied Data Science at the University of Florida, with a distinguished career bridging financial regulation, data science, and information technology. He currently serves as a Senior Examiner at Korea’s Financial Supervisory Service (FSS), where he has overseen IT examination, insurance compliance, and fraud detection, contributing to regulatory advancements and systemic risk management.

Prior to his role at FSS, Yoonki held senior positions at Samsung Electronics, where he led security operations and contributed to large-scale cloud service development. Earlier in his career, he worked at Fasoo and Microsoft Korea, building enterprise-level software solutions.