As founder and CEO of QA InfoTech Worldwide, Mukesh is responsible for the company's vision and leads the organization's worldwide operations, marketing, sales, and development efforts. He founded QA InfoTech with a vision to provide unbiased Quality Assurance (QA) testing solutions and has grown the organization to four Centers of Excellence globally.
Mukesh has a passion for excellence, an eye for detail, and commitment toward customers, and he blends it with an execution style that has the maturity of an established organization with the nimbleness of a startup. These together have enabled QA InfoTech to stand apart in the exceedingly competitive software testing industry. Under his guidance, the company has contributed to various innovative quality assurance and test-automation solutions.
Mukesh holds a Master of Science and Technology in Information Systems from Birla Institute of Technology and Science (BITS), Pilani, India, as well as a Master of Engineering in Engineering Management from University of Colorado, Boulder, USA. Mukesh is an avid reader, golfer and cricket player, as well as a philanthropist who takes a personal interest in the organization’s CSR initiatives.
When it comes to being a great people manager, the tried-and-true methods continue to be the most effective. Listening to employees, leading by example, and focusing on results will set you apart. Read on to learn why these skills—and a couple more—can make all the difference between a good manager and a great manager.
Crowdsourced testing is a great way to connect with users and ensure that the product idea, design, implementation, and nonfunctional elements meet their expectations—or, hopefully, even exceed them. But like any other test effort, crowdsourced testing is both a science and an art. Here's how to do it effectively.
Robotic process automation (RPA) systems develop a list of actions to automate a task by watching a user perform that task in the application's GUI, and then repeating those tasks directly in the GUI. But RPA tools differ from other tools because they can handle data among multiple applications—including for testing.
The most important element for revolutionizing quality engineering across the board—for testers, others in the product group, stakeholders, and even competitors—is an open mind toward quality. This means a willingness to consider new avenues toward pursuing quality, including techniques, roles, and attitudes.
With increasingly complex and sophisticated technologies being used in testing, quality has to become a smart activity. A smart QA strategy is both about building smart models and making smart choices. We must keep in mind the balance between manual and automated solutions and which are needed to accomplish our goals.
Test automation is only as smart as we design it to be, but automation combined with artificial intelligence and machine learning is what can enable predictive analytics to produce smart outcomes—and that is the facelift quality engineering will soon receive.
From where do organizations—both big and small—get product ideas? Most often, pioneers and revolution makers have ideas that are homegrown, but today the market is such that the world has ideas. Our industry has plenty of patterns, trends, and ideas to work on and augment.