Codejudge is a Code Simulation Platform that automates the tech interview process by using real world tech projects to
capture skill data.
This allows companies to build their tech teams 6x faster and reduces the chance of misfits, by capturing functional and code quality data points. This is done through code sandboxs that allow us to code real world applications to accurately simulate day one experience.
Our mission is to re-invent hiring like a AWS service-scalable, reliable, cost efficient and free of any bias.
Your hiring process should assess on-the-job skills and core competencies, not just the ability to solve puzzles.
Technical hiring decisions should be based on data driven reports and structured rubrics and not on randomised tests.
We believe that the hiring process should enable an experience that aids learning for the candidates and provide them with quality feedback.
Developer time should be spent in building projects and not interviewing candidates. Companies should be able to outsource technical hiring.
Credentials, educational and work backgrounds aren’t everything. Bias free testing is important to build diverse and inclusive teams driven towards innovation.
We believe your hiring should focus on understanding strengths and not discovering weaknesses.
Nilesh has spent the past 8 years in a variety of roles in Amazon, Microsoft and other companie . His expertise include building scalable and innovative products. He has patents on graph-based code analysis platform called Codegraph which allows the company to predict defects in code and also create auto refactoring tools.