Summary
Kirill Tsyganov is a Senior Machine Learning Engineer in Melbourne with 11 years’ experience building enterprise-grade AI/ML platforms and data products, currently leading Azure-based MLOps and platform transformation at AustralianSuper. He specialises in translating strategic business needs into scalable, high-availability solutions—uplifting Terraform IaC, parallelising feature engineering with Spark, and exposing models as REST endpoints to accelerate investment decisions. Previously he delivered end-to-end ML and climate-data initiatives at NAB and built reproducible, high-throughput genomics pipelines and tooling in academic research at Monash, combining domain science with production engineering. Known for stakeholder-centric leadership, Kirill focuses on operational excellence, reducing risk while increasing engineering velocity across cross-functional teams. An unusual strength is his deep background in bioinformatics and HPC, which informs a pragmatic approach to processing large, noisy datasets in regulated enterprise environments.
11 years of coding experience
15 years of employment as a software developer
The University of Melbourne
Honours (research) year, Bioinformatics (genomics and transcriptomics), First Class Honours, Honours (research) year, Bioinformatics (genomics and transcriptomics), First Class Honours at Monash University
English, Russian