Resume

• 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.

• 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.

• 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.

Plot Armor | React, Typescript, TailwindCSS, Firebase, Groq LLM

• Developed a Chrome extension with 100+ active users that censors spoilers on webpages using hybrid AI detection, achieving 92% spoiler detection accuracy through optimized NLP keyword matching and ML APIs.
• Constructed popup interface processing 500+ daily interactions with real-time stats, user controls, and confidence thresholds improving user satisfaction by 40%.
• Designed Firebase/Firestore backend managing 50,000+ records, and rate limiting maintaining 99.5% uptime.

SpendWise | Java, Android, Firebase, MVVM

• Built a full-stack mobile application using Java and Android SDK with Firebase backend integration, featuring budget management, expense tracking, social savings circles with real-time chat, and an AI-powered financial Chatbot.
• Implemented Firebase Authentication supporting 250+ registered users with session management. Integrated Firestore for real-time data, achieving 99.8% sync reliability and reducing data fetch latency by 40%.
• Engineered using MVVM, implementing a Singleton Pattern for centralized Firebase and database managers to ensure consistent data access and reduce memory leaks by 25%.

HarmonyAPI | Python, Flask, React, Typescript, Groq LLM, PostgreSQL, Docker

• Developed an AI-powered medical search platform processing 1,000+ queries during HackGT, enabling healthcare providers to retrieve results with 95% query accuracy and generate summaries 60% faster than manual research.
• Integrated Groq LLM API to perform semantic search across healthcare datasets, reducing average response time to under 2 seconds and handling 50+ concurrent users while maintaining 99% uptime during the competition.
• Delivered a full-stack solution in under 36 hours using TypeScript/React and Dockerized Flask/PostgreSQL, enabling 40% faster deployment and 5,000+ transactions.