Hi, I'm Vlad Esaulov

Understanding distributed systems and high-performance computing from the perspective of data optimization techniques.

I am a Ph.D. Candidate in Computer Science at Georgia State University working as a Research Assistant with the CS Department. My research focuses on building more efficient systems, data transfer frameworks for HPC applications, optimizing CUDA kernels for machine learning inference, and developing AI-powered security systems. I collaborate with Oak Ridge National Laboratory researchers on cutting-edge HPC applications.

I am actively seeking internship opportunities as a Software Engineer, Machine Learning Engineer, or Research Scientist to apply my expertise in high-performance computing, CUDA optimization, and distributed systems to real-world challenges.