Abdulqadir Zakir

Abdulqadir Zakir has a diverse work experience in the field of software engineering. Most recently, they worked as an Associate Software Engineer at MarketAxess starting from January 2023. Prior to that, they served as a Graduate Assistant at New York University from October 2021 to December 2022.

Abdulqadir also gained valuable experience as a Software Engineer Intern II at MarketAxess from June 2022 to August 2022. Before joining MarketAxess, they were employed at Comviva as a Product Development Engineer and Software Engineering Intern, where they played a key role in developing and testing software enhancements for Comviva's flagship product, the SMS gateway. Abdulqadir also participated in agile development projects, contributed to best practices, and developed a Graphana dashboard for data analysis.

Furthermore, Abdulqadir's previous experience includes a Software Development Internship at Nissan Digital India LLP, where they designed and implemented a License Analyzer tool using SpringBoot, Angular 8, and PostgreSQL. Abdulqadir also contributed to the development of a payment request portal using React.

With a strong background in software engineering and a demonstrated ability to develop and test software solutions, Abdulqadir Zakir is a highly skilled professional with a diverse range of experiences in the industry.

Abdulqadir Zakir completed their Bachelor of Technology (BTech) degree in Information Technology from SRM University from 2016 to 2020. Abdulqadir then pursued a Master of Science (MS) degree in Computer Science from New York University, which they are expected to complete between 2021 and 2023. In addition to their formal education, Abdulqadir obtained several certifications. In 2018, they became certified in "MTA: Introduction to Programming Using Python" from Microsoft. Abdulqadir also completed courses in "R Programming" and "Programming Mobile Applications for Android Handheld Systems: Part 1" from Coursera in the same year. Abdulqadir also studied "Deep Learning A to Z" on Udemy and "Introduction to machine learning" on Udacity, although the specific completion dates are unknown.