About

I build and manage systems spanning web applications, local tools, networked services, and platform architecture. As Lead Developer at Drone Institute, I guide development of tools supporting project intake, pilot coordination, data processing, and deliverable management.

In Fall 2026, I will begin Vanderbilt University’s residential M.Ed. in Innovative Design and Technology in Education (IDeaTE). I’m interested in applying learning theory, human-centered design, and emerging technology to systems that help students learn at their own pace while helping teachers keep pace with them.

I hold a BS in Computer Science from the University of Louisiana at Lafayette, graduating magna cum laude (3.83 GPA) in 2.5 years. I completed undergraduate research and presented at IBM Thomas J. Watson Laboratory. I will attend Vanderbilt as a Dean’s Merit Scholar and expect to graduate in 2028.

Technical Skills

Experience

Lead Developer - Drone Institute

Technical Leadership • Platform Engineering • Operational Systems | May 2026 - Present

Guide technical direction for software supporting drone-service operations from project intake through pilot coordination, data processing, and final delivery. Translate operational needs into durable workflows, connect web and local infrastructure, and improve systems used to manage active projects. Connect cloud-based project workflows with local processing infrastructure, carrying drone data from field operations through review and customer delivery.

Lead Fullstack Developer - BeNakama

EdTech • Fullstack Development • Azure DevOps | February 2025 - January 2026

Led development of an advanced, secure classroom system and educational video game (Ascend) for UK high school students. Designed and implemented a smart question system that adapts to student ability, with specific accommodations for students with learning difficulties and disabilities. Managed Azure DevOps, ensured website uptime, and tested/debugged update launch issues. Utilized C# Blazor for fast, responsive interactions and seamless full-stack integration.

AI Annotation Contractor - DataAnnotationTech

AI/ML • Model Evaluation | January 2024 - Present

Created high-cognition, model-challenging questions that exposed weaknesses in AI mathematics models. Designed and rigorously tested AI chat modes across multiple functions and interactions. Gained key insights into common AI model pitfalls and recurrent issues across models and versions.

AI Researcher - ULL Data Analysis and Deep Learning Lab

Machine Learning • University Research | September 2023 - December 2024

Presented research on image classification training methods at the IBM Thomas J. Watson Laboratory as part of AICS’24. Principal researcher in applying curriculum learning to image classification convolutional neural networks. Designed and implemented a wavelet decomposition algorithm enabling classification research and providing insight into image data complexity.

Tech Lead - Aluminotes

Team Leadership • Accessibility • Fullstack Development | January 2024 - December 2024

Led a 3-person development team building an AI-leveraging note-taking app to assist students with disabilities by reformatting and rewording text. Full stack development using Django, HTML, JavaScript, and Python. Won 1st place in Inn-eaux-vate pitch competition.

Focus

I’m interested in educational technology that actually helps students learn, especially students with learning difficulties or disabilities. My approach is shaped by personal experience with educational systems that prioritize compliance over learning.

Interests

Currently exploring how technology can make education more accessible and effective, particularly for underserved students. Interested in the intersection of human-computer interaction and learning systems.