Akash Rai
About Akash Rai
Akash Rai is a Senior Software Developer at Trademo in Gurugram, Haryana, India, where he has worked since 2021. He holds a Bachelor of Technology in Computer Science from Dayananda Sagar Institutions and has experience in improving system architecture and backend performance.
Work at Trademo
Akash Rai has been employed at Trademo as a Senior Software Developer since 2021. In this role, he has contributed to various projects and initiatives aimed at improving system performance and architecture. His responsibilities include collaborating with cross-functional teams to design and implement software solutions. Akash has played a key role in transforming the company's architecture from a monolithic structure to a micro-service based architecture, which has enhanced the robustness of the systems.
Previous Experience at Licious
Before joining Trademo, Akash Rai worked at Licious - Born to meat as a Software Developer from 2019 to 2021. During his tenure, he focused on developing software solutions that improved operational efficiency. His experience at Licious provided him with a solid foundation in software development practices and team collaboration.
Education and Expertise
Akash Rai studied Computer Science at Dayananda Sagar Institutions, where he earned a Bachelor of Technology (BTech) degree from 2015 to 2019. His educational background has equipped him with essential knowledge and skills in software development. Akash has expertise in backend performance improvements, having successfully reduced API response time by 40% through various optimizations.
Technical Contributions
In his professional career, Akash Rai has made significant technical contributions. He implemented a queue mechanism to minimize single points of failure in system architecture. Additionally, he has built two new products from scratch, collaborating closely with the Product Team on both high-level and low-level design. His work with the DevOps team involved containerizing applications using Docker and deploying them with Kubernetes.