Sayan Das
About Sayan Das
Sayan Das is a Senior Software Engineer at Delivery Hero in Berlin, Germany, with a background in software engineering roles at Quinbay and COVIAM in India.
Current Position as Senior Software Engineer at Delivery Hero
Sayan Das currently holds the position of Senior Software Engineer at Delivery Hero, based in Berlin, Germany. As part of his role, Sayan is involved in leading software development projects and working on complex technical solutions to enhance the company's products and services. His current work focuses on scalable and efficient software architectures, leveraging his extensive experience in the field.
Previous Role at Quinbay
From 2020 to 2022, Sayan Das worked as a Senior Software Engineer at Quinbay in Bengaluru, Karnataka, India. During his tenure, he contributed to various software development projects, applying his skills in optimizing systems and coding robust applications. His work was essential in delivering high-quality software solutions to clients, enhancing their operational efficiency.
Professional Experience at COVIAM
Sayan Das was a Software Developer at COVIAM from 2018 to 2020, located in Bengaluru, Karnataka, India. Throughout this period, he developed a wide range of software applications and collaborated with cross-functional teams to ensure project success. His role included coding, debugging, and implementing software solutions that met client needs.
Educational Background
Sayan Das graduated with a Bachelor of Technology (BTech) in Computer Science from SRM University, where he studied from 2014 to 2018. Prior to that, he completed his high school education at Delhi Public School in Haridwar, achieving notable academic success with an 88% in Class 12th Boards (CBSE) and a 9.6 CGPA in Class 10th Boards (CBSE). His strong educational foundation has substantially contributed to his professional expertise.
Notable Projects and Achievements
During his career, Sayan Das has achieved several significant milestones. At BliBli.com, he optimized the search infrastructure to improve cost efficiency and reduce latency. He succeeded in reducing the compute workload of the garbage collector by 90% through tuning for an Apache Solr cluster. Additionally, he implemented a multi-sharded Solr collection strategy to enhance horizontal scalability and conducted a proof of concept and performance benchmarking for a major version upgrade of Apache Solr. His contributions also included planning a migration strategy for Apache Solr with minimal downtime and exploring different data and indexing nodes to improve sustainability and decouple update and query workloads.