• Collaborated with cross-functional efforts to develop an innovative recruiting large-scale and distributed system, driving a remarkable 70% improvement in operational efficiency and enabling streamlined hiring of top-tier talents.

• Implemented MySQL Full-Text Search solution, adeptly designing indexing strategies across complex schema for improved search. Engineered optimized SQL query, reducing response time from 254ms to 34ms.

• Implemented the integration of the AWS SDK with Amazon SES and Amazon Lambda to automate batch email processing, utilized Socket.IO to track email progress, and reduced the time spent on manual email tasks from 10 hours a day to 5 hours a day, saving 5 hours.

• Enhanced user satisfaction by 30% through optimization of a React.js and TypeScript front-end interface, seamlessly integrated with a Node.js back-end.

• Developed a Chrome Extension that augmented the effectiveness of the recruitment workflow, facilitating streamlined outreach to potential candidates through cold emails. This innovation led to an exceptional 70% enhancement.

• Exploited ChatGPT API for comprehensive job description analysis, extracting key keywords to enhance candidate selection applied to a recommendation filter in the recruitment platform, leading searching efficiency by 40% increase.

• Established a community platform that increased medical item search efficiency by 80%, fostering knowledge sharing and valuable professional contributions.

• created a single-page application with React.js, integrated container components with Redux to manage actions and reducers and utilized React Hooks lifecycle methods to dynamically create message board modules.

• Developed a back-end server using the Express framework in a Node.js to implement RESTful message board services.

• Transitioned to Next.js for server-side rendering and Cloudflare for CDN to optimize JavaScript load time.

• Constructed a Financial System using Node.js, React, Javascript, and Typescript. This system aimed to generate substantial savings, with an expected reduction of royalty expenses by approximately $70,000 and personnel costs by 30% annually.

• Devised and formulated a Fire Insurance Verification System using Node.js, React, and JavaScript. This system contributed to a remarkable 19% enhancement in Key Performance Indicator (KPI) for insurance renewals during the year 2016.