Anastasia Mallikopoulou

Anastasia Mallikopoulou

Junior Systems Engineer - Observability & Applied ML

Nubificus LTD

About

Anastasia Mallikopoulou is a Systems Engineer with expertise in observability stacks, runtime benchmarking, distributed instrumentation, and applied machine learning. She brings experience ranging from AI-driven analytics (medical imaging, multimodal ML) to performance profiling for containerised and sandboxed environments.

She reinforces system reliability, monitoring, data-quality assessment, and anomaly detection workflows with a focus on practical observability solutions for complex distributed systems.

Interests
  • Observability Stacks (Prometheus, Grafana, Jaeger, EFK)
  • Runtime Benchmarking
  • Distributed Instrumentation
  • Applied Machine Learning
  • AI-driven Analytics
  • Performance Profiling
  • Anomaly Detection
  • Data Quality Assessment
Education
  • Integrated Master's Degree in Electrical and Computer Engineering, 2025

    University of Thessaly