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Kaushik Bhaiya has a diverse work experience spanning several roles and companies. Kaushik started their career as an Exhibition Executive at Amalthea, IIT Gandhinagar, where they successfully reached out to over 100 companies and contributed to a 20% increase in exhibitors compared to the previous year. Kaushik then continued at IIT Gandhinagar as an Event Coordinator for Ignite, where they significantly increased participation by 500%.

In 2019, Kaushik worked as a Summer Intern at BARC, where they conducted research on improving the efficiency of polymer photovoltaic solar cells and co-wrote a paper on their findings. Kaushik also presented this paper at a renowned conference and had it published. Additionally, they served as an Undergraduate Research Fellow at the Computational Materials Group at IIT Gandhinagar during the same year.

By 2020, Kaushik took on the role of Industry Relations and Project Council Secretary at IIT Gandhinagar. In this position, they led a team of over 20 members and focused on strengthening industry relations and building an entrepreneurial ecosystem at the institute.

Most recently, Kaushik joined Wysa in 2021 as an Associate Product Manager. Kaushik later transitioned to the role of Product Manager, where they are responsible for developing the roadmap for growth and monetization in the B2C sector. Kaushik coordinates with various teams to achieve the final goal.

Overall, Kaushik Bhaiya's work experience demonstrates their strong leadership, project management, research, and product management skills.

Kaushik Bhaiya completed their Bachelor's degree in Material Science and Engineering with a minor in Management from the Indian Institute of Technology Gandhinagar, spanning from 2017 to 2021. In addition to their degree, they obtained several certifications. These include "Introduction to Probability and Data with R" from Duke University in June 2020, "Python Level 1 QUALIFICATION" from Cambridge Certification Authority in May 2020, "Using Databases with Python" from the University of Michigan in May 2020, "Using Python to Access Web Data" from the University of Michigan in May 2020, and "Python Data Structures" from the University of Michigan in April 2020.