©2026 Business Next Media Corp. All Rights Reserved. No.102, Guangfu S. Rd., Da'an Dist., Taipei City 106, Taiwan
In today’s hiring landscape, companies often receive hundreds or even thousands of applications for a single job opening. Recruiters are under pressure to move fast. Candidates are left guessing what went wrong. According to Kevin Hsieh, founder and CEO of MirWork, this inefficiency is not just frustrating, it is preventable.
“I remember how hard it was after I finished my master’s degree,” said Kevin Hsieh. “I went through hundreds of mock interviews just to prepare for Meta. There was no feedback, no guidance, and the process was draining.”
MirWork, which stands for Mock Interview Robot, started as a tool Kevin Hsieh built for the people he was mentoring while working full-time. It is now a growing AI-powered platform that offers interview simulations, automated evaluations, and structured feedback for both candidates and employers.
Kevin Hsieh immigrated from Taiwan to the United States at age 12. He studied biomedical engineering and began his career working in hospitals, building surgical tools and diagnostic systems. Later, he moved into product management at companies like Cognoa and Meta. Throughout his journey, one theme kept coming back: helping people navigate complex systems with better tools.
MirWork was originally created to help Kevin Hsieh coach his mentees more efficiently. He realized that AI could simulate the repetitive aspects of interview prep and allow users to practice anytime. What started as a personal productivity hack quickly showed signs of broader demand.
“Once I launched the early version, thousands of people started using it,” said Kevin Hsieh. “That is when I knew it was something bigger.”
For employers, MirWork can cut hiring timelines significantly. One client, a well-known tech company, used the platform to screen 50 candidates in 24 hours. By the next day, the hiring team had already selected eight for follow-up interviews. The entire cycle took two weeks. According to Kevin Hsieh, the same process used to take up to four months.
The platform removes common bottlenecks such as scheduling, rescheduling, and phone screening. Recruiters receive structured evaluations based on the job description and can focus on candidates who are already pre-vetted.
“Our goal is to make sure every candidate gets a fair shot,” said Kevin Hsieh. “Not based on their resume alone, but on how they actually communicate and solve problems.”
MirWork is widely used by job seekers preparing for roles in engineering, data science, product management, and business. The platform supports over 20 languages and adapts to different industries and interview types.
Roughly 60 percent of MirWork users are already employed and looking for better opportunities. About one-third are recent graduates. The system evaluates core communication skills such as clarity, vocabulary, tone, and structure. It offers detailed feedback after each session.
A new feature called Hot Interview will highlight the most popular roles and companies being practiced for, based on real-time data. Another upcoming release will add integrations with platforms such as Indeed and 104 Job Bank.
Kevin Hsieh emphasizes that MirWork works to reduce bias in the hiring process by anonymizing personal data and focusing solely on candidates' verbal performance. This means that interviews are judged based on how candidates communicate and solve problems, rather than on their names, schools, or backgrounds.
“At the end of the day, we let recruiters make the final call,” said Kevin Hsieh. “But we help them make that decision based on something more objective than a quick scan of a resume.”
Kevin Hsieh’s prior work on diagnostic tools for autism and ADHD helped shape his thinking. In that role, he helped design systems that collected behavioral data and generated reports for doctors. The doctors still made the final diagnosis, but the software reduced delays and made evaluations more consistent.
He believes that confidence and comfort matter just as much as accuracy. That is why MirWork now supports a wide range of voice accents. Candidates can simulate interviews with agents speaking in Singaporean English, Polish, Taiwanese Mandarin, and other dialects.
“For someone who is used to one type of English, hearing a different accent can be a real challenge in a live interview,” said Kevin Hsieh. “We want to give people that exposure before it matters.”
Candidates can even customize the voice of the AI interviewer, sometimes requesting animated or friendly characters to help reduce anxiety. According to Kevin Hsieh, the goal is not to make the AI look serious or robotic, but to make users feel welcome.
Kevin Hsieh often reminds users that rejection is not always a reflection of skill. Sometimes it is about fit. If one company passes, another might be the better match.
“Interviewing is like dating,” said Kevin Hsieh. “You are not trying to win every match. You are trying to find the right one.”
He encourages users to practice frequently, seek feedback, and focus on building self-awareness. That includes understanding not just strengths, but also areas to improve.
“A lot of people are too critical of themselves,” said Kevin Hsieh. “They compare their progress to others. But what matters is learning more about yourself and becoming better over time.”
As of May 2025, MirWork has facilitated tens of thousands of mock interviews. The company is preparing to showcase new enterprise features and candidate tools at the Collision conference in Vancouver.
The team also plans to release new modules designed for accelerator programs like Y Combinator and Antler, as well as region-specific practice paths for markets like Taiwan.
“Our goal is to lower the time and emotional cost of job seeking,” said Kevin Hsieh. “If we can help someone feel more confident, more prepared, and less stressed, then we are doing something right.”
©2026 Business Next Media Corp. All Rights Reserved. No.102, Guangfu S. Rd., Da'an Dist., Taipei City 106, Taiwan