- Principal investigator for over $2M in Department of Defense R&D contracts developing cloud deployed machine learning solutions for USAF aircraft sustainment and enhanced readiness.- Leading development of a short wave infrared visual inspection system combining remote infrared imaging and AI computer vision to enable automated defect recognition of surface and subsurface defects in aerospace composites.

- Implementing Next.js and Supabase to create a full stack UGA Hackathon application and team organizing webapp- Using Tailwind CSS to create styled components for app scalability and device compatibility

- Developing internal and external facing web-apps. Using NextJS for initial load SSR while having LDAP group backed login/access data fetching.Tech Used: LDAP, NextJS, TailwindCSS, SQL,, SSR- Assisted in development and deployment of data pipelines through Apache and Azure for integration purposes between two internal data management systems. Tech Used: Java, Spring, Kubernetes, Azure, STIBO, Apache ActiveMQ

- Developed and deployed Python scripts on an Azure Environment to generate comparison tables for entire company's product offerings for SOX compliance and auditing purposes, saving company costs during re-arch. Tech Used: Python, Azure, Pandas, SQL- Lead development of an end-to-end solution for Sku-Specification Sheet generation. This project replaces the manual entry and local ran system that was in use prior with an automated system that auto generates based on delta file changes reported from the data warehouse. It also allows for editing and regeneration if errors are present within the output file. Tech Used: Python, Pandas, Azure, FPDF