H(X) = −Σx p(x)·log p(x) // information-theoretic analysis of system behaviour
Designing scalable data architectures and enabling intelligent, self-optimizing systems through advanced analytics, LLMs and reinforcement learning — bridging engineering with business.
Director of Data Engineering and Researcher. I lead engineers and data scientists, set the technical direction and operating model for production data and ML/LLM platforms, and stay hands-on in architecture and code. Over eight years in production data engineering, six of them leading teams of software engineers and data scientists, I have worked at the intersection of large-scale data engineering and research. I am pursuing a PhD at AUEB on Agentic AI that couples LLMs with Reinforcement Learning to make autonomous, data-centric infrastructure decisions. I mediate between Engineering, Research and Business, and I lead teams that manage complex data in international environments.
$tail -f experience.log
Director, Data Engineering
Persado
Nov 2026 – Present
Lead the data engineering function and own the data platform and ML/LLM operations behind a regulated marketing platform, as a hands-on technical leader setting standards and the roadmap.
Direct the architecture of data pipelines across heterogeneous sources, data quality and governance, model fine-tuning, evaluation and serving, and CI/CD for code, data and models.
Doctoral Researcher
BALab — Athens University of Economics and Business
Sep 2025 – Present
Architecting multi-layer Dynamic Resource Allocation (DRA) — anomaly-driven, autonomous scaling of Spark / big-data workloads inferred from live system & JVM telemetry.
Pioneering LLMs + Reinforcement Learning to interpret application logs and drive agentic, data-centric resource decisions across cloud and physical environments.
Rigorous experimental ML-systems research — baselines, ablations, reproducible replications, and information-theoretic analysis of system behaviour.
Lead Data Engineer & Data ScientistNov 2020 – Nov 2026
Lead two teams of software engineers and data scientists.
Investigate, customize and deploy machine-learning and deep-learning models (Theta, LSTMs, etc.).
Time-series analysis of network data.
Build anomaly-detection and fraud-detection pipelines.
Analytics Software EngineerMay 2018 – Nov 2020
Solved complex telecom problems with modular, reusable, efficient and scalable code.
Implemented, customized, deployed and maintained Spark applications on physical-server clusters.
Documented software design and functionality.
Client installations and DevOps; agile methodologies, OOP and test-driven development.
CommsquareMay 2018 – Nov 2026 · 8.5 yrs
Statistician — Internship
Hellenic Statistical Authority · Synthesis of Accounts & Accounts with the Rest of the World
Apr – Jul 2016
Produced descriptive statistics in the GDP area, extracted information from IMF documents, and performed data wrangling and cleansing.
MSc Thesis — “AI in Root-Cause Call Classification from Mobile Network Auditing”
Conducted at Commsquare
2019
Co-author — “Ο Πληθυσμός της Ελλάδας υπό Διωγμόν”
Demographic study · ISBN 978-960-7941-14-5 · co-authored with Ira Emke-Poulopoulos (VP, Hellenic Society for Demographic Studies; New York Academy of Sciences member)
2016 – 2018
BSc Thesis — “Study of the asymptotic Cramér–Lundberg formula”