Summary
Anindya Paul is a software engineer with a decade of backend-focused experience, currently crafting scalable transport and traffic solutions at Yunex Traffic in Munich. A self-described software craftsman, he blends hands-on development with a keen emphasis on reliable, maintainable systems across cloud-native architectures. His track record spans from migrating a stateful backend to stateless RESTful APIs at TU Munich to building recommender systems and promo-code based offers at FELD M and iPay Systems, including a function-as-a-service based recommender and two-factor authentication implementations. He has worked across AI engineering, data engineering, and research roles, turning research into production-grade code, such as moving long-running tasks to asynchronous workers to cut response times from a minute to under a second. He holds an MS in Informatics from Technical University of Munich and a BSc in Computer Science from the University of Dhaka, with earlier stints at Siemens ITS and cubemos GmbH that shaped his global perspective. Based in Munich, he combines breadth and depth to build reliable, scalable systems in complex, real-time domains.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Informatics (Computer Science), CGPA 1.6 (German Grading Scale), Master of Science - MS, Informatics (Computer Science), CGPA 1.6 (German Grading Scale) at Technical University Munich
Higher Secondary Certificate (HSC), Science, GPA 5.00 (Scale of 5.00), Higher Secondary Certificate (HSC), Science, GPA 5.00 (Scale of 5.00) at Notre Dame College
BSc (Hons), Computer Science and Engineering, CGPA 3.52 (out of 4.00), BSc (Hons), Computer Science and Engineering, CGPA 3.52 (out of 4.00) at University of Dhaka
Secondary School Certificate (SSC), Science, GPA 5.00 (Scale of 5.00), Secondary School Certificate (SSC), Science, GPA 5.00 (Scale of 5.00) at St. Joseph Higher Secondary School
Bengali, English, German