• Implemented data-driven serverless web apps with React/Vue, REST, & JS/TS/Python/C# Lambdas• Implemented custom Generative AI and machine learning solutions using AWS Bedrock, Amazon SageMaker, and Weaviate• Proactively (cost, uptime, service health) and reactively (break/fix) managed client environments• Assisted architects in pre-sales scoping and tasking of complex web applications and GenAI solutions• Regularly led client communications on requirements, design, and updates• Performed break-fix and feature enhancement on legacy .NET applications on AWS• Executed end-to-end SDLC processes seamlessly within an Agile framework on up to 7 projects simultaneously

• Applied computer vision to quantify and categorize the behavior of animals for autism research within the Simons Center for the Social Brain

• Trained college students to code, use digital, woodworking, and 3D printing tools, and develop projects in maker space. • Planned and coordinated 10-200+ person making events.

• Created anomaly detection-based insider threat tracking system using SciKit-Learn.• Improved determination of directionality of packet flow in AWS enterprise cloud network using machine learning.

• Researched ideal data collection, storage, and analysis methods for data from 911 centers and hospitals.• Designed website and database system in Python, SQL, and JavaScript with a small team to track and analyze opioid overdose data from first responders.

• Co-authored publication: “Aspect Ratio Effect on Shear Modulus and Ultimate Shear Strength of Graphene Nanoribbons,” published in Diamond & Related Materials.• Ran MATLAB simulations testing shear strength of simulated graphene nanoribbons and analyzed resulting data with a team of PhD students.