Deploy end-to-end Python-based workflows for building AI/ML models to accelerate traditional engineering design process. These include parameterized CAD files, large-scale CFD data generation with cloud-based computing, model tuning using state of the art ML/AI models (DoMINO)/surrogate modeling/transfer learning, and integration/customer facing demos

Software developer for a molecular dynamics (LAMMPS) and DSMC (SPARTA) solvers

• Developed various physics-based models related to high speed flight from customer contracts multi-phase flows (clouds), thermal protection systems, and advanced particle methods for high vacuum environments

• Extracted trajectories and performed aerothermal analysis and extracted surface quantities of interest of high speed vehicles. Compared simulated to flight data for validation

• Developed automated Python-based workflows to leverage large-scale computational fluid dynamic (CFD) simulations to analyze different vehicle geometries

• Managed issues and version control through GitLab and Github. Coordinated tasks with regular reviews within a team. Wrote ad-hoc python scripts for visualization or post-processing large data sets

• Secured competitive internal grants as a lead principal investigator

Research assistant in Center for Computational Sciences and Engineering. Developed advanced particle-based code to investigate thermodynamic fluctuations and long-ranged correlations in externally driven inelastic gas.

• Model built on AMReX, a parallelized, adaptive-grid framework, for large-scale simulations

Dissertation: "Direct Simulation Monte Carlo and Granular Gases" under advisement of Prof. Aaron Morris

Developed Monte Carlo and molecular dynamic models for investigating granular gases, a prototypical toy model for probing non-equilibrium effects in compressible gases.

• Proposed novel computational models for non-dilute granular gases and kinetic modeling of non-spherical particles.

• Simulated and derived analytical solutions for rarefied granular systems

Teaching assistant for Undergraduate Level course on Introduction to Fluid Mechanics

Graduate courses completed: Fluid Mechanics, Heat Transfer, Thermodynamics, Numerical Methods (finite-element method), Compressible Flows, Hypersonics, Compressible Turbulence, and Statistical Mechanics

Responsible for procuring equipment and setting up experiments to investigate the effect of high shear rates on preexisting amyloid beta (AB) concentrations on net AB concentration using microfluidic devices. Cultured cells and used Western blots to extract protein concentrations