Summary
Samuel Fiddis is a software engineer with 10 years of experience building high-throughput, cloud-native systems and data platforms across finance, research and consumer domains. He holds an MSc in Computing Science from Imperial College and has delivered production-grade streaming ingestion pipelines handling tens of billions of messages per day, Kubernetes/EKS architectures, and Terraform-driven infrastructure. His background spans data engineering with Flink and Kafka, Python ETL and ML model integration, plus low-level Java systems and robust test automation using Testcontainers and Mockito. Samuel pairs hands-on implementation (including Prometheus/Mimir observability, Grafana/Loki, APISIX gateway and Keycloak integration) with pragmatic refactors to consolidate legacy microservices into cloud-agnostic, multi-tenant platforms. Early career work in numerical and embedded-like systems (energy trading, smart contracts and private Ethereum testnets) gives him an unusual blend of distributed systems, ML and experimental blockchain experience. Based in Sydney, he contributes as a practical engineer who values community-driven learning and builds fault-tolerant, auditable solutions at scale.
10 years of coding experience
10 years of employment as a software developer
Master’s Degree Computing Science, Master’s Degree Computing Science at Imperial College London
Mandarin Chinese, Mandarin Chinese at Shandong University
Bachelor's Degree Mechanical Engineering/Science (Physics/Mathematics), Bachelor's Degree Mechanical Engineering/Science (Physics/Mathematics) at Monash University
English, Chinese, German