Akhil Ramlakan
About Akhil Ramlakan
Akhil Ramlakan is a Software Engineer at Hopper in Charlotte, North Carolina, specializing in scalable systems using Scala and Python.
Current Role at Hopper
Akhil Ramlakan currently works as a Software Engineer at Hopper in Charlotte, North Carolina, United States. He began this role in November 2021. At Hopper, he focuses on developing distributed systems to improve travel experiences. His work involves leveraging his expertise in scalable system development using Scala and Python.
Previous Experience at PayPay Corporation
Before joining Hopper, Akhil Ramlakan worked at PayPay Corporation as a Software Engineer for five months in 2021. His role at PayPay involved working on software solutions in the United States, contributing to various projects within the company's technological ecosystem.
Background at Flow Commerce, Inc.
Akhil Ramlakan served as a Software Engineer II at Flow Commerce, Inc., commonly known as Flow, from 2019 to 2021 in Hoboken, New Jersey. During this two-year tenure, he developed software solutions that contributed to the company's e-commerce operations, demonstrating his skills in backend software development.
Early Career and Internships
Akhil Ramlakan's career began with internships and junior roles that built his foundation in software engineering. He worked at Bank of America Merrill Lynch, both as an intern and full-time Software Engineer, in the Greater New York City Area from 2017 to 2019. He also gained experience as a Software Engineer Intern at Fidelity Investments in New Hampshire in 2016. Further, he held roles at the University of North Carolina at Charlotte (UNC Charlotte), including Student Web Developer and TSO Student Technician, providing technical support and web development services.
Education in Computer Science
Akhil Ramlakan holds a Bachelor of Science degree in Computer Science from the University of North Carolina at Charlotte, which he obtained from 2014 to 2018. His academic background provided him with a solid foundation in computer science principles, algorithms, and optimization techniques, which he applies in his professional roles to develop scalable and efficient software systems.