Xinyun Wang

I am a customer success-oriented Technical Support Engineer with 2 years of experience in the SaaS industry, passionate about leveraging technology to solve real-world problems. My career is built around a core philosophy: not just to resolve technical issues, but to create a positive and efficient value experience for customers with every interaction.

In my work, I have achieved data-validated results: I successfully handled over 1,000 technical issues while consistently maintaining a 95% customer satisfaction rate. My responsibilities extend beyond reactive support; I am passionate about taking a proactive approach:

• Optimizing the Customer Experience: I have improved self-service efficiency and reduced support costs by analyzing common issues to proactively update over 10 product documents and add more than 10 new entries to our AI knowledge base.

• Resolving Key Pain Points: I excel at collaborating with sales and R&D teams to identify key pain points for high-value clients. By providing customized deployment and upgrade solutions, I helped over 20 clients reduce system downtime by 10%.

Beyond my core technical skills, I possess exceptional fast-learning and adaptability abilities. In my recent role, I used AI tools like GPT and Gemini to learn Australian financial knowledge within half a month, allowing me to onboard rapidly and save the team at least 30% in training time while serving over 100 clients.

Outside of my professional work, I am also passionate about project management and public service. As a core member, I have helped plan and execute 7+ non-profit projects with over 1,000 participants, where I was responsible for managing timelines and coordinating with partners.

My career interests lie at the intersection of technology, communication, and project management, and I continuously use AI tools like ChatGPT to optimize my work efficiency. I look forward to joining an innovative team where I can apply these comprehensive skills to bring greater, lasting value to both customers and the product.