Developed scalable features, including a video management system that increased platform engagement by 25%, while integrating third-party services and optimizing performance to drive user acquisition and growth.

Improved campaign efficiency by 35% through tailored in-house tools and third-party integrations, while creating high-performing client landing pages that achieved conversion rates of over 10%.

Enhanced operational efficiency by 25% through reliable cross-service connections and Slack automation, while ensuring 100% production uptime with a streamlined deployment pipeline and reducing critical bugs by 80% through robust testing practices.

Streamlined client workflows by developing custom tools, including a dynamic social media aggregator and a research filtering system, improving productivity by 50% and earning consistent 5-star client ratings.

Improved application performance by 20% through optimization techniques and developed high-fidelity prototypes to reduce turnaround time by 20%, while delivering a school information system deployed across multiple institutions with excellent user feedback.

This program deepens expertise in machine learning, AI systems design, and MLOps, directly building on my of full-stack engineering experience. I will engage with advanced coursework in areas like applied machine learning, cloud infrastructure for AI, and trustworthy software development, supported by UNC Charlotte's cutting-edge computing research environment.

This program equipped me with expertise in software system design, development, and evaluation, with a strong emphasis on quality and efficiency. It provided me with a solid foundation in advanced mathematics and introduced control engineering concepts, enhancing my analytical and problem-solving skills.