Ajaydip Singh

Ajaydip Singh is a Software Engineer with experience in a variety of roles. In 2022, they began working at Zendar as a Software Engineer. In 2021, they started working at Upmost Foundation as a Software Engineer, where they recreated the official company website with Html, Scss, Vanilla JS, and gulp to automate slow and repetitive workflows which cut down development time by 30% and reduced code by hundreds of lines. Ajaydip corresponded with the designer to create web page layouts for A/B testing that increased the number of registered users by 10%. Additionally, they pioneered the development of the experiences web app, with ReactJs, Redux, and Express, to revamp the user experience and satisfaction for more than a thousand plus users. Also in 2021, they were selected to be part of Pangea.app's inaugural class of Top Emerging Talent, a program to identify the most capable, reliable, and motivated college students in the US and match them with companies on the Pangea.app platform. Ajaydip also worked as a Volunteer Developer at Develop for Good, moderating biweekly developer sprints in a team three developers to boost team communication, engagement, and accountability. Ajaydip recommended the team to use GitHub projects that doubled productivity and reduced the number of active issues by 80%. Ajaydip also led the development team of three developers to code the frontend authentication flow of an Angular and Express web application. In 2020, they worked as a Data Intern at Sheffield Steel Systems Limited, where they led a team of three individuals and changed the status quo by automating routines on MS-Excel, and SAP ERP that was traditionally prone to human error. Ajaydip also developed a model to forecast quantities of materials/products to import using available store data. In 2019, they worked as a Software Engineer Intern at SK Encar.com, where they trained and optimized a vehicle recognition deep learning model of accuracy 97%. Ajaydip also analyzed market trends and the competitive landscape to understand the opportunities and potential value of the machine learning model, and they familiarized with TensorFlow Lite to deploy the machine learning model on the SK Encar app. In 2019, they also worked as a Data Intern at ALX, where they conducted interviews with various departments to understand how data is currently used at ALX, how it is stored and what additional data will be required to enhance business operations. Ajaydip also did extensive research on what kind of data team structure and storage system ALX should adopt and why. In 2018, they worked as a Student Admissions Processor at Minerva Schools at KGI, where they paid strong attention to candidate's spoken and written English to identify grammatical errors. Ajaydip quickly learned to evaluate candidates' performance and creativity using set rubrics with efficiency, and they worked remotely, independently and actively participated in group settings.

Ajaydip Singh attended UWC Dilijan College from 2016 to 2018, where they studied International Baccalaureate. In 2017, they attended Yale University for the Yale Young Global Scholars Program in Frontiers of Math and Science. In 2018, they began their Bachelor's degree in Computational Sciences at Minerva University, and in 2021 they completed an iOS Development program at CodePath. In 2019, they obtained a certification in Python for Data Science and Machine Learning Bootcamp from Udemy.