Kalpak Pingle
About Kalpak Pingle
Kalpak is a Software Engineer at ModernLoop, a company specializing in B2B recruiting and talent solutions, focusing on automating and enhancing the interview process through advanced scheduling and integration features.
Kalpak - Software Engineer
Kalpak is a software engineer working at ModernLoop. As part of a team of 15, Kalpak contributes to the development and enhancement of ModernLoop's product, which serves the B2B, Recruiting, and Talent industries.
ModernLoop Company Overview
ModernLoop, launched in December 2020, caters to the B2B, Recruiting, and Talent industries. Operating in regions including the United States, America/Canada, and both remote and partly remote setups, the company offers innovative solutions designed to streamline the recruiting process through advanced integrations and automation.
ModernLoop Product Features
ModernLoop's product integrates seamlessly with email, calendar, Slack, Zoom, Google Meet, Microsoft Teams, and various applicant tracking systems. Key features include scheduling, candidate experience enhancement, interviewer training, and load balancing to prevent burnout. The product automates tasks such as creating Zoom or Google Meet links, Slack channels dedicated to interview loops, and crafting rich confirmation emails.
ModernLoop Integrations
ModernLoop integrates with several essential tools to enhance the recruiting process. This includes Google Calendar and Microsoft Outlook for scheduling, and video conferencing tools like Zoom, Google Meet, and Microsoft Teams. The product also supports coding assessment tools such as CoderPad, CodeSignal, Codility, and HackerRank. These integrations ensure a seamless and efficient recruitment workflow.
Automated Interview Scheduling by ModernLoop
ModernLoop provides advanced scheduling features that support dynamic breaks and multi-day interview scheduling. The system tracks interview calendar event acceptance across candidates and interviewers, ensuring a smooth and coordinated scheduling process. The load balancing algorithm prevents interviewer burnout by efficiently distributing interview slots.