Summary
Alexandros Deligiannis is a data engineer and researcher with 8 years’ experience building production-ready data pipelines, RESTful APIs, and ML-driven forecasting systems for transport and commercial applications. Based at the Hellenic Institute of Transport (CERTH), he blends academic rigor—now pursuing a PhD—with hands-on skills in Python, Scala, Spark, Kafka, NoSQL/SQL, and cloud platforms (Azure, AWS, IBM). He has a track record of turning research into deployable features and customer pilots, applying A/B testing and KPI-driven evaluation to ensure impact. Prior roles include machine learning engineering at Apifon and applied analytics projects spanning sports NLP to real-time event clustering, revealing a knack for practical innovation across domains. Colleagues describe him as curious and methodical—comfortable translating mathematical foundations into scalable, GDPR-aware systems.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Department of Applied Informatics, Doctor of Philosophy - PhD Department of Applied Informatics at University of Macedonia
Bachelor’s Degree BSc Mathematics, Bachelor’s Degree BSc Mathematics at Aristotle University of Thessaloniki (AUTH)
Master’s Degree MSc Big Data Science, Master’s Degree MSc Big Data Science at Queen Mary University of London
German, Greek, English