I am a final-year Ph.D. candidate in Computer Science and Engineering at the University of California, Irvine. My research focuses on developing innovative methods for building scalable, efficient, and secure distributed systems capable of processing and learning from diverse types of data in real-time. This includes designing systems that ensure efficiency, privacy, and security while enabling real-time insights and advanced analytics.
My recent work focuses on advancing AI and large language models (LLMs), exploring how cutting-edge technologies can power applications like Retrieval-Augmented Generation (RAG), knowledge graphs, and generative AI systems. I am particularly interested in enabling low-latency, scalable solutions for integrating structured and unstructured data into AI workflows, driving innovation in real-time analytics and intelligent systems.
In addition, I have extensive experience applying zero-knowledge proofs to enhance security and trust in blockchain, Web3, and database systems. My broader expertise includes designing advanced machine learning algorithms for knowledge graphs, natural language understanding, multi-modal learning, and large language models (LLMs). My ultimate goal is to drive innovation in real-time data infrastructure and AI, contributing to the development of smarter, more scalable, and trustworthy systems.
Office Lab: DBH-2081 Advisor: Faisal Nawab