Summary
Mujtaba Faizi is a data engineer based in Munich with eight years of software and data engineering experience and a formal MS in Data Engineering and Analytics from TUM. He has built end-to-end streaming and batch pipelines—Kafka Streams, CDC, AVRO/JSON serialization—and operational data stores in cloud-native Kubernetes environments, most recently at mobile.de. His background spans practical full-stack development, NLP research on conversational agents, and hands-on observability work (Elastic, Solr, Kibana) for microservice ecosystems, reflecting a strong focus on reliable, production-grade data infrastructure. He also mentors and co-led Makeathon teams at TUM.ai, combining technical delivery with community-driven AI product design. Notably, Mujtaba pairs deep engineering of real-time data flows with a genuine interest in AI and data science, making him effective at turning experimental models into operational systems.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS Data Engineering and Analytics, Master of Science - MS Data Engineering and Analytics at Technical University of Munich
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at National University of Sciences and Technology (NUST)
English, Urdu, German