Part of a capstone research process aimed at constructing and testing UVA's first h-class hybrid rocket motor.Designing oxidizer tank system using NOS. Developing P&ID diagrams and system configuration.

Studying detonations and the propagation of shock waves.Designing the control system to allow for experiment automation.

Working with Professor Daniel Quinn to study flow properties through UVA's flow tube being constructed. Verifying static and dynamic pressure values and ensuring safety protocols.

Developing a dynamic thrust testing stand to map motor efficiency.

Proficiently interpreting diverse engineering drawings and physical components, I adeptly crafted solid models vital for manufacturing and supplying spare parts to military aircraft like the KC-135. Leveraging reverse engineering methodologies within the internal MARS database, SolidWorks, and specialized drawing software, I revitalized legacy aircraft assemblies. Collaborating closely with senior engineers, I honed designs for optimal manufacturability and cost efficiency. My active engagement in design reviews facilitated seamless communication, ensuring project timelines and customer contentment.

I led microchannel heat exchanger testing aimed at minimizing frost accumulation, significantly improving thermal conductivity and enhancing heat transfer in sub-zero environments, ultimately optimizing system performance. Using MATLAB and Engineering Equation Solver (EES), I designed and implemented a Phase Change Material (PCM) based energy storage system, which increased thermal energy storage efficiency. In collaboration with senior engineers, I conducted high-fidelity experiments for next-generation cooling systems, utilizing precision instruments for data acquisition and detailed performance analysis. I also developed Process & Instrumentation Diagrams (P&ID) for Thermal Energy Storage (TES) systems, enhancing flow testing protocols and conducting a comprehensive competitor analysis to advance system capabilities.Leveraging Python, OpenCV, and NumPy, I developed an innovative image processing tool to quantitatively analyze frost generation on heat exchangers, which improved the accuracy of frosting coefficient measurements. Additionally, I applied Computational Fluid Dynamics (CFD) using Ansys Fluent to optimize airflow and solution mixing in wind tunnel tests, contributing to improved aerodynamic profiles. For heat exchanger design, I used Engineering Equation Solver (EES) to optimize brass plate heat exchanger channels, resulting in superior heat dissipation and operational performance. Finally, I employed machine learning techniques in MATLAB, using Gaussian models to predict and optimize performance for round plate tube fin heat exchangers, which enhanced predictive maintenance and system reliability.

Engaged in cutting-edge research focused on enhancing heat transfer using self-propelled silver compounds and manganese dioxide particles. Initial experiments demonstrated promising qualitative outcomes, with heat-sensitive camera analysis revealing improved convection and heat transfer. Orchestrated quantitative trials to validate heightened heat transfer coefficient compared to standard water, alongside innovating a specialized apparatus to measure temperature gradients under constant heat flux. Collaborated seamlessly within a multidisciplinary research team, proactively identifying and addressing implementation challenges, showcasing adept teamwork and effective problem-solving capabilities.

During my summer internship at AARP, I collaborated with the internal CSN department to enhance operational efficiency by automating data reporting processes. Through close consultation and Agile methodologies, I identified and optimized various data pathways, adapting seamlessly to evolving requirements. I meticulously analyzed and refined these pathways to create streamlined end-to-end processes, resulting in error-free workflows. Utilizing tools like Appian and UiPath, I designed user-friendly interfaces for data automation, significantly accelerating operational speed and reducing manual tasks.

Crafting an AI model to forecast the optimal composition of a disilicate coating for minimal thermal expansion ratio. Methodically collected and scrutinized experimental data across a range of compositions to comprehend the thermal expansion ratio dynamics of disilicate coatings. Additionally, conducted comprehensive literature reviews to gather sample data and stay abreast of advancements in materials informatics and associated domains.

Contributed to the Booz Allen Hamilton, IRS Innovation Lab by creating a UIPath RPA prototype. This solution involved screen scraping to collect data from legacy tax systems for Case Management purposes, bridging the gap where modern integration APIs were lacking. Designed and developed a UiPath solution empowering business users to access taxpayer data from legacy systems while actively engaging with cases.

Collaborated with application architects to conceptualize mobile features, seamlessly converting designs and wireframes into top-notch code using modern UI frameworks like React. Utilized UI/UX tools like FIGMA for meticulous screen design and review. Orchestrated design system workflows, conducted comprehensive customer data analysis, and actively engaged in projects to offer insightful application enhancement recommendations. Played a pivotal role in deploying applications across diverse platforms including web, Android, and iOS.