Summary
Ankit Chaudhary is an engineer with a decade of experience building distributed systems and stream-processing platforms, currently enhancing compute capabilities in the HiveMQ broker from Berlin. He spent six years as a database researcher at TU Berlin co-creating and maintaining the Nebula Stream project—a next-generation stream processing engine for IoT and cloud workloads—bridging academic research with production-grade engineering. Previously he led data- and microservice-driven initiatives in smart mobility and large-scale analytics using Kafka, Flink, Cassandra, Elasticsearch, Hadoop and Kubernetes. His PhD work and prior research roles reflect a sustained focus on fault-tolerant service migration, cloud resource management and low-latency processing for real-world deployments. Colleagues know him as a curious, hands-on problem solver who moves ideas from prototype to production while keeping an eye on practical operational constraints. He combines deep systems research with applied software architecture, making him equally comfortable in lab papers and running clusters at scale.
10 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Technische Universität Berlin
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at RPTU Kaiserslautern-Landau
B.Tech IT, B.Tech IT at Guru Gobind Singh Indraprastha University
German, English, Hindi