Nitin Gupta
About Nitin Gupta
Nitin Gupta is a Software Engineer Intern currently working at Groww in Bengaluru, India. He has previous experience in various roles, including software development and problem setting, and has a strong background in competitive programming.
Work at Groww
Nitin Gupta currently serves as a Software Engineer Intern at Groww, a financial technology company based in Bengaluru, Karnataka, India. He has been in this role since 2024, contributing for a duration of 8 months. His responsibilities include developing software solutions that enhance the user experience and functionality of Groww's platform.
Previous Experience
Prior to his current position, Nitin Gupta held several roles in the software development field. He worked as a Martian Intern at Persistent Systems for 2 months in 2023. He also served as a Software Developer at Lenskart.com for 5 months in 2022, where he developed a web application that improved hiring efficiency by 30%. Additionally, he worked as a Python Developer at Numeric Infosystem Pvt. Ltd. for 6 months in 2021 and as a Back End Developer at GrowthGear for 1 month in 2022.
Education and Expertise
Nitin Gupta studied Computer Science at the Indian Institute of Information Technology Bhopal, where he earned a Bachelor of Technology (BTech) degree from 2020 to 2024. His academic background has equipped him with a strong foundation in software development and engineering principles.
Projects and Contributions
Nitin Gupta has developed several notable projects during his career. He created a Jaundice Detection System that achieved 97% accuracy using eye images. He also built applications such as a Cloud File Manager and an SQLite Database Management System utilizing Node.js and React.js. His work as a Fullstack Developer at Growth Gear involved optimizing REST APIs for improved response times.
Competitive Programming Achievements
Nitin Gupta has demonstrated strong skills in competitive programming, solving over 1200 questions related to data structures and algorithms. He participated in the ACM-ICPC Regionals with his team and achieved a top 1.06% ranking on LeetCode, alongside a maximum rating of 1460 on Codeforces.