I’m a Ph.D. student and Graduate Research Assistant in Computer Engineering at the University of Central Florida, working with Dr. Murat Yuksel in the Networking & Wireless Systems Lab (NWSL). I build reinforcement-learning systems for AI-enhanced Software-Defined Networking (SDN), including a DQN-based online learner for speculative flow placement and a published eviction strategy that lifts hit rate by 7–8% over LRU/LFU. I also design fault-tolerant “job distributor” tooling that reliably orchestrates millions of compute-intensive runs across heterogeneous clusters, desktops, and cloud VMs.

Before UCF, during my M.Sc. at the University of Nevada, Reno, I helped create the AlertWildFire edge-ML wildfire detection pipeline, achieving 70% lower latency and 51% less bandwidth, and developed lightweight traffic-fingerprinting models that improved device-ID accuracy by 12%. Earlier, as a Software Engineer at REVE Systems, I built asynchronous microservices that reduced chat-archive processing from 30 days to 15 minutes and integrated large-scale social-media gateways into a microservice architecture.

I’m passionate about distributed systems, applied reinforcement learning, and building super-scalable SDN applications that make modern networks more intelligent, efficient, and resilient.