Engineer, scientist, educator, and technology entrepreneur working at the intersection of AI, simulation, and advanced engineering.
My current focus is on applying Large Language Models (LLMs), machine learning, and scientific AI to accelerate material discovery, engineering design, and product development. I build computational tools that combine data-driven intelligence with first-principles physics, leveraging high-performance computing (HPC), large-scale multiphysics simulations, and optimization to solve complex real-world problems.
My experience spans AI/ML, computational mechanics, additive manufacturing, materials engineering, and simulation-driven design, with projects ranging from aerospace structures and advanced manufacturing to medical devices and robotics.
- LLMs and AI agents for engineering and scientific workflows
- Machine learning for material and process discovery
- High-performance computing (HPC) and scientific computing
- Large-scale multiphysics simulation and digital engineering
- Mechanical design, optimization, and product development
- AI-enabled manufacturing and autonomous engineering systems
AI & Data Science: LLMs, RAG, Agents, Transformers, PINNs, GNNs, Bayesian Optimization
Simulation & HPC: Finite Element Analysis, Multiphysics Modeling, Parallel Computing (MPI/OpenMP/CUDA), Scientific Computing
Engineering & Product Development: Mechanical Design, CAD/CAE, Design Optimization, Materials Engineering, Advanced Manufacturing
- Lecturer & Research Scientist, Texas State University
- Former Researcher, Oak Ridge National Laboratory
- Ph.D. in Mechanical Engineering (Computational), Virginia Tech
I'm interested in collaborating on technologies that transform how products, materials, and engineering systems are designed, simulated, and deployed.