• Developed a Personalized E-commerce Recommendation System. • Processed over 538,000 raw data entries to generate personalized product recommendations for customers; Achieved a 15% increase in customer purchase rates through the Content-Based Recommendation techniques. • Created 5 different email templates tailored to customer preferences, resulting in a 35% improvement in email open rates; Redesigned email formats, delivering a 25% boost in performance as evidenced by A/B testing. • Developed an automated email system dispatching over 17,000 emails daily via Kubernetes Cron jobs, Klaviyo and Shopify APIs, saving 21 hours of weekly work; Enhanced system stability and achieving a 93% delivery rate.

• Led the development of ultra-wideband (UWB) chip technology, significantly enhancing the lab's capabilities in high-frequency communication systems. • Designed and implemented a cutting-edge indoor positioning system using UWD1000 technology. This project improved location accuracy by 53% compared to existing systems.

• Researched technology of Multiple Routing Configurations for Fast IP Network Recovery; Tested 20 network routers to facilitate the network administration team in hardware and network infrastructure management. • Developed MRC methodology with C Language programming to stimulate internet station disconnections situation.