AI Engineer · PhD · 2026

Panagiotis C.Theocharopoulos

AI Engineer · production LLMs, RAG & healthcare NLP

I bridge research and production—designing language systems and data pipelines that ship in real clinical and industry settings.

Get in touch LinkedIn Short CV Full CV
5+
Models in prod
4+
Years industry
7
Peer-reviewed pubs
10+
Venues reviewed
Portrait of Panagiotis C. Theocharopoulos

About

Research to production#

AI engineer and researcher focused on LLMs, RAG, and NLP that work in production—especially in healthcare and precision medicine.

After my PhD at the University of Thessaly, I focus on turning research into robust software: retrieval systems, model integration APIs, and analytics platforms used in the field.

At Covariance I lead data science for healthcare AI. I also stay active in academia through peer review and applied deep learning research.

Work

Experience#

Industry

Covariance

Feb 2021 — Present
AI Engineer (Staff)
Jan 2025 — Present
  • Lead a data science team focused on healthcare analytics and production AI.
  • Oversee LLM and RAG systems from design through deployment.
  • Define technical standards, architect solutions, and mentor engineers.
  • Build internal APIs for model integration and deployment.
Data Scientist
Feb 2021 — Jan 2025
  • Led end-to-end ML projects and architected LLM/RAG solutions.
  • Authored proposals for national and European funding initiatives.
  • Designed fraud detection systems for insurance claims.
  • Built ETL pipelines and web-based data science applications.
Academic

University of Thessaly

2019 — 2025
Research Fellow
Apr 2024 — Dec 2025
  • Integrated ML methods in an intelligent electronic health record system.
  • Linked omics and genetic data to a national precision medicine initiative (TAEDR-0539180).
  • Contributed to an intelligent patient registry mechanism.
Website Administrator
2019 — 2023
  • Led website development, managed databases and servers, provided technical support.
Internship

Naval Hospital of Athens

Jul — Aug 2017
Support Engineer (Intern)
  • Maintained servers (Windows, AIX) and MySQL databases; network support.
  • Configured CISCO, HP, and Mikrotik network equipment.

Teaching

Teaching#

Guest Lecturer

University Program Course Years

University of Thessaly

MSc in Artificial Intelligence and Applications

Graduate teaching
Artificial Intelligence Systems
2026

University of Thessaly

MSc in Informatics & Computational Biomedicine

Graduate teaching
Data Mining and Big Data Analysis in Medicine and Biology Programming Subjects
2023 — 2025

Teaching Assistant

University Department Course Years

University of Thessaly

Computer Science & Biomedical Informatics

Undergraduate support
Databases
 2022 — 2023

University of Thessaly

Department of Mathematics

Undergraduate support
Introduction to Programming I & II Numerical Analysis
2019 — 2024

Focus

Expertise#

AI & Machine Learning

Python PyTorch TensorFlow Hugging Face LLMs RAG NLP Topic Modeling Scikit-learn Deep Learning

Data & Infrastructure

SQL ETL Pipelines Azure AI REST APIs Linux Git Power BI OMOP-CDM

Languages

Greek English German Italian

Background

Education#

2026

PhD in Artificial Intelligence

University of Thessaly, Greece

Thesis: Development of Deep Learning methods on big data with a focus on NLP

2020

MSc in Informatics & Computational Biomedicine

University of Thessaly, Greece

Minor: Computational Medicine and Biology

2019

BSc in Computer Science & Biomedical Informatics

University of Thessaly, Greece

2017

Erasmus+ Exchange Student

Università degli Studi di Perugia, Italy

Recognition

Honors & activities#

Awards

IEEE CIS Student Travel Grant Award

SSCI 2025

Best National Startup of 2022 — Elevate Greece

Awarded to Covariance

Academic Work Scholarship

University of Thessaly · 2019 — 2021

Tuition Fee Exemption Scholarship

MSc degree · 2019

Research projects

Precision Medicine in Greece

2024 — 2025

Bridging large omics, genetic, and medical data (TAEDR-0539180).

  • Role: Research Fellow
  • Funding: European Union — NextGenerationEU

Certifications

Building RAG Agents with LLMsNVIDIA · 2024
I2I Spin Out Innovation ProgrammeUniv. of Galway · 2024
Power BI Financial Reporting & AnalysisUdemy · 2024
EHDEN OMOP-CDM Data StandardizationEHDEN · 2022
Pedagogical and Teaching CompetenceUTH · 2019

Peer review

Journals

Neural Computing and Applications
Springer
Scientific Reports
Nature Portfolio
IEEE Trans. on Signal and Information Processing
IEEE
Cluster Computing
Springer
Social Network Analysis and Mining
Springer
Show 6 more journals
Information Systems Frontiers
Springer
Int. Journal of IT & Decision Making
World Scientific
Public Health
Elsevier
Frontiers in Public Health
Frontiers
Exploration of Digital Health Technologies
Open Exploration
IEEE Open Journal of the Computer Society
IEEE

Conferences

IEEE WCCI 2026 IEEE SSCI 2025 IJCNN 2025 EAAAI 2025 IEEE CIBCB 2025 ARES 2025 PSB 2026

Research

Publications#

Peer-reviewed work in NLP, topic modeling, and predictive precision medicine.

Journal 2025

Large language models for efficient topic modeling

Neural Computing and Applications

View DOI →
Journal 2024

Developing predictive precision medicine models by exploiting real-world data

Journal of Applied Statistics

View DOI →
Conference 2025

Transforming Medical Practice: Big Data and ML for Predictive Precision Medicine

IEEE CIHM 2025

Scholar →
Journal Open Access
2025

Large language models for efficient topic modeling

P. C. Theocharopoulos, P. Anagnostou, S. V. Georgakopoulos, S. K. Tasoulis, V. P. Plagianakos

Neural Computing and Applications, 1–19

View DOI → PDF ↓
Journal 2024

Developing predictive precision medicine models by exploiting real-world data

P. C. Theocharopoulos, S. Bersimis, S. V. Georgakopoulos, A. Karaminas, S. K. Tasoulis, V. P. Plagianakos

Journal of Applied Statistics 51(14), 2980–3003

View DOI →
Journal Open Access
2023

Analysing sentiment change detection of COVID-19 tweets

P. C. Theocharopoulos, A. Tsoukala, S. V. Georgakopoulos, S. K. Tasoulis, V. P. Plagianakos

Neural Computing and Applications 35(29), 21433–21443

Scholar → PDF ↓
Conference 2025

Transforming Medical Practice: Harnessing the Power of Big Data and Machine Learning for Predictive Precision Medicine

P. C. Theocharopoulos, S. Bersimis, S. V. Georgakopoulos, V. P. Plagianakos, S. K. Tasoulis

2025 IEEE Symposium on Computational Intelligence in Health and Medicine (CIHM), 1–7

Scholar →
Conference 2024

Who Writes the Review, Human or AI?

P. C. Theocharopoulos, S. V. Georgakopoulos, S. K. Tasoulis, V. P. Plagianakos

Presented at the 2023 IEEE 22nd Int. Conf. on Cognitive Informatics & Cognitive Computing (ICCICC) · arXiv:2405.20285

arXiv →
Conference 2023

Detection of Fake Generated Scientific Abstracts

P. C. Theocharopoulos, P. Anagnostou, A. Tsoukala, S. V. Georgakopoulos, S. K. Tasoulis, V. P. Plagianakos

2023 IEEE BigDataService, 33–39

Scholar →
Conference 2022

Text analysis of COVID-19 tweets

P. C. Theocharopoulos, A. Tsoukala, S. V. Georgakopoulos, S. K. Tasoulis, V. P. Plagianakos

Int. Conf. on Engineering Applications of Neural Networks, 517–528

Scholar →