Summary
Anis Nasir is a Senior Software Engineer based in Stockholm with 13 years of experience building large-scale data and streaming platforms for batch, real-time and ML use cases. He holds a PhD from KTH focused on algorithms and optimizations for real-time data processing, and his work spans Flink, Kafka, HDFS and BigQuery-driven architectures. His career blends research and production: from designing load-balancing and graph-processing algorithms at academia and labs to shipping streaming platforms at King and H&M Group. Comfortable across distributed systems, stream processing and graph mining, he’s known for turning theoretically grounded ideas into robust, operational services. Colleagues describe him as self-motivated and approachable—someone who enjoys deep technical discussions while pragmatically solving production problems.
13 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD) Mining Big and Fast Data: Algorithms for Large-Scale Data Processing, Doctor of Philosophy (PhD) Mining Big and Fast Data: Algorithms for Large-Scale Data Processing at KTH Royal Institute of Technology
Computer Engineering Computer Engineering, Computer Engineering Computer Engineering at National University of Sciences and Technology (NUST)
UPC Universitat Politècnica de Catalunya
Spanish, Swedish, English, Japanese