• Drove standardization of Atomic Layer Deposition data collection• Developed transformer models for calibration between new and old etch gas tools

• Drove development of evaluation suite for RAG-enabled LLM tool for R&D scientists• Created framework with keyphrase and LLM-as-a-Judge metrics to evaluate chatbot accuracy• Developed test cases through collaboration with engineering/chemistry experts and LLM developers that tracked performance upgrades from ~60% to ~93% pass rate

• Drove a directed research project in collaboration with the University of Toronto to predict organometallic thermal stability using ML and DFT techniques• Developed and pitched 3 year R&D digitization strategy• Scouted key academic and industry partners for a high-temperature/high-pressure distillation process for metal halides

• Built and applied active learning/bayesian optimzation framework to optimize Design of Experiment for a new product development. Reduced the number of physical experiments needed by ~40%• Implemented new regression and validation models to predict spin-on dielectric thickness. Improved predictive power by 37%

• Led a group of five TAs for a Machine Learning course• Created new projects about the usage of neural networks and transfer learning using Keras/TensorFlow

• Independently taught several lectures and review sessions to 70+ students.• Led an international learning program with a university in Uzbekistan with over 100 participants. Students met virtually to learn about the culture, college life, and problem solving approaches of the other college.• Held weekly office hours with regular attendance of 10-20 students.

• Researched the use of ammonia production and decomposition for use in hydrogen fuel cells.• Organized and performed experimentation on catalysts, membranes and absorbents to improve process• Utilized MATLAB and COMSOL software to model the process and find areas of improvement.

• Analyzed crude feedstock effects on delayed coker production. Involved implementation of neural networks and other algorithms in Python to evaluate shot coke formation and fouling issues within the cooker.• Conducted a refinery-wide cooling water survey and recommended corrections for problematic heat exchangers.

• Explored the use of capacitance deionization to remove heavy metals from water in areas such as Flint, MI.• Coordinated and analyzed daily tests to optimize process parameters.• Designed and 3D-printed new experimental components using SolidWorks.