Experience

Jan 2026 – Present

• Led a 9-engineer team using pod-based sprints and CI/CD automation to launch a campus event platform, driving 60% weekly engagement across 150+ beta users.
• Architected a Next.js/Django platform with JWT auth and 10+ REST endpoints, supporting 300+ live events.
• Integrated PostgreSQL for robust data modeling to reduce API response times by 40%, ensuring platform stability.

Jan 2026 – Present

• Built Python scripts to automate pre-processing and labeling of 40+ hours of human and AI voice data.
• Developed pipelines to extract pitch, cadence, and spectral data for large-scale emotional tonality analysis.
• Implemented statistical workflows to quantify recognition accuracy between human and AI-generated voices.

Jan 2024 – May 2024

• Designed and implemented a photon-based hardware random number generator to communicate with optical hardware, enabling automated data acquisition and statistical entropy validation.
• Built a Python-based data processing pipeline to analyze 1,000+ photon samples, improving validation accuracy by 25% and reducing runtime by 15% through optimized data structures and batch processing.
• Awarded 1st place at the Clayton State University 2024 CIMS Symposium.