Experience with PECVD of thin and thick dielectric films - lead engineer for several logic and memory applications.Experience with engaging all major logic and memory customers for different applications.

• Led computational efforts on multiple collaborative projects with experimental groups at Carnegie Mellon University and National Energy Technology Lab for sustainable fuel and energy production. The collaborations resulted in the discovery of highly robust electrocatalysts through a combination of experiment and theory.• Elucidated the electronic structures of novel, atomically precise nanostructures (APNs) for electrocatalytic applications using computational chemistry tools such as density functional theory (DFT). Insight from the electronic structure analyses improved experimental designs.• Performed extensive DFT calculations on high performance computing (HPC) environments to rationalize experimentally observed high electrocatalytic performance of APNs. Coupled with systematic thermodynamic analyses, DFT calculations were in excellent agreement with experiments.• Supported future catalyst discovery for experimental groups by designing a computational framework for the accelerated screening of new APNs using data sets generated via ab-initio calculations.

ChE 0613 - Systems Engineering II: Process Design (48 students)Provided technical training, support and feedback for improving polymer production processes through process simulation tools (ASPEN Plus and AVEVA)

ChE 1290 - Mathematical Methods in Chemical Engineering (34 Students)Led weekly recitations and provided hands on MATLAB training for undergraduate students to solve real world chemical engineering challenges involving differential equations using analytical and numerical techniques.

• Executed various experiments (solution-phase) using naturally occurring amino acids that led to the successful synthesis of optically active ligand-protected nanoparticles for applications in enantiomeric separation of chiral pharmaceuticals.• Implemented a design of experiments approach to obtain optimal synthesis conditions, resulting in the development of a novel, one-pot procedure to consistently produce monodisperse nanoparticles that can be easily characterized via TEM/SEM.• Trained on various spectroscopic techniques to characterize and quantify the chirality of synthesized nanoparticles, enabling the effective selection of potential candidates for separation of racemic mixtures.