Sr. Staff Machine Learning Engineer at Palo Alto Networks

With a wealth of experience in artificial intelligence and driven by curiosity, Tejul is a Sr. Staff MLE specializing in NLP. Her research includes LLM-driven RAG pipelines, graph-based neural network architectures, and large-scale ML systems. With a strong academic foundation and a commitment to applied innovation, she has authored multiple IEEE publications and filed two patents. Her current focus is designing and optimizing efficient RAG systems that empower Palo Alto Networks customers worldwide to resolve as many complex product-related issues as possible in seconds, dramatically reducing resolution times from days to moments. Combining deep technical expertise with user-centric design, she aims to create scalable and intelligent systems that deliver real-time impact.