I am a Research Scientist and Engineer with over 8 years of post-PhD experience.
I am currently a part of an exciting, stealth start-up building something big with lots of GPUs that can run large AI workfloads very fast.
I enjoy working on challenging problems and new application areas, where I strive to solve problems using Computer Science, High-performance Computing, Machine Learning and Deep Learning, and Data Analytics and Visualization.
I earned my Ph.D. in Computing from Scientific Computing & Imaging Institute, University of Utah, and spent several years of R&D at Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, where I worked on diverse problems, such as computational biology, battery simulations, plasma physics, and others. At LLNL, my broad focus was to facilitate large-scale simulations and understand and explore simulation data.
At Samsung Research America, I spent time gaining experience in multimodal Generative AI and developing, automating, and improving data-to-ML pipelines.