Summary
Srinivas Ramdas is a Senior Data Scientist based in Berlin with nine years of experience building ML and software products for high-velocity startups and enterprise environments. He has shipped production models and services—from transformer-based ETA improvements and LGBM matching at project44 to graph neural networks for road extraction in his DLR master thesis—bridging research and engineering. Comfortable across Java, Python, C++ and AWS SageMaker, he pairs deep learning expertise (PyTorch, transformers) with backend and systems experience (Spring Boot, Cassandra, microservices) to deliver customer-facing impact. His background at Nutanix reflects strong product-grade engineering discipline—performance, QA and backward compatibility—while smaller engagements show he can turn novel CV/ML prototypes into first customers. He’s open to collaboration and consulting, and maintains a public portfolio of projects that showcases both research and production work.
9 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at B. M. S. College of Engineering
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Stuttgart