Engineered RESTful APIs and integrated them with dynamic data processing to facilitate seamless interactions and updates, reducing data sync latency by 30%. Utilized AWS services (99.9% uptime) for scalable cloud infrastructure and secure data storage. Implemented Next.js for a responsive and dynamic user interface and employed JWT for secure authentication and authorization. Contributions led to a 30% improvement in resource management effectiveness and a 25% increase in reporting accuracy.

Developed a custom K-Nearest Neighbors algorithm utilizing Pandas, Python, and MATLAB to build a handwriting recognition model. By integrating advanced clustering techniques, I optimized the algorithm’s effectiveness, achieving an 84% accuracy rate. The model was trained using an online digit dataset and fine-tuned for enhanced performance in predicting handwritten digits.

Developed comprehensive algorithms and frameworks for continuous system monitoring and performance optimization, which improved monitoring efficiency by 25% through real-time, data-driven operational responses. The application analyzed data from 100+ metrics across various sources, identifying performance bottlenecks and automating responses, reducing manual interventions and reportings by 40%.