Machine Learning Engineer & Data Scientist with 4+ years delivering end-to-end AI solutions across finance, healthcare, and large-scale enterprise environments. Specializes in LLMs, RAG systems, ML pipelines, explainability, and high-impact automation. Published researcher with experience building production-grade platforms (NLP, speech AI, streaming analytics) and driving innovation through PoCs, cross-functional partnerships, and technical leadership. Passionate about applying advanced ML to real-world problems and scaling intelligent systems across organizations.

Professional Experience

Senior Machine Learning Engineer

Grid Dynamics

Dec 2025 - Present | Krakow, Poland

Designing, building and scaling production-grade AI/ML systems and infrastructure, with emphasis on enabling LLMs and advanced ML workflows.

  • Architect and implement scalable ML infrastructure and tooling to support the full ML lifecycle — from data ingestion and preprocessing, through training/fine-tuning/evaluation, to deployment and monitoring. Build production-ready ML services: clean, maintainable and scalable codebases, API endpoints, model serving, CI/CD pipelines and deployment to cloud or containerized environments.
  • Collaborate with stakeholders (product managers, architects, domain experts) to translate business requirements into ML/AI solutions — including LLM-based features, semantic search, RAG pipelines, and custom model workflows. Optimize model performance and compute efficiency, including distributed training, batch & streaming data pipelines, resource utilization, latency, and reliability for ML workloads.

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SkillsMachine Learning Engineering, LLMs, RAG Systems, Semantic Search, MLOps, Distributed Training, Model Serving, CI/CD, Technical Leadership, Prompt Engineering
Tech StackPython, SQL (BigQuery, PostgreSQL, MySQL), Apache Spark, PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, NLP, Cloud Platforms (GCP, AWS), Docker, API Development, Data Pipelines, Model Deployment

AI Researcher for Mental Health Projects

Klimaka NGO

Mar 2025 - Present · 10 mos | Athens, Attiki, Greece · Remote

  • Developing personalized mental health assessment tools using Large Language Models (LLMs), tailored to individual patient profiles.
  • Ensuring GDPR compliance and ethical handling of sensitive mental health data.
  • Conducting ML research on healthcare applications to improve clinical decision support.
  • Developing a feedback loop between clinicians and AI tools to enhance question quality and clinical relevance.
  • Implementing an internal AI Platform to host all in-development AI tools as well as a centralized educational repository for internal knowledge sharing.
Activities & Recognition
  • (2026) E-poster at the 34th Panhellenic Psychiatry Congress (Alexandroupoli) on AI-assisted clinical support for Suicide Intervention Line 1018. [e-poster]
  • (Aug. 2025) Delivered internal webinar: "Understanding AI – Applications in Psychology, Psychotherapy & Psychiatry" to 60+ participants. [webinar]
  • (2025) Contributing to the HygeIA first-aid mobile app, supporting suicide prevention through self-assessment tools and access to crisis resources; app won 2nd place in EIT Health i-Days 2025.
  • (2025) Actively engaged in workshops, hands-on sessions, and collaborative projects at the EEBG 2025, applying genomics, metagenomics, transcriptomics, and LLM-based AI techniques to real-world bioinformatics challenges.
  • (May 2025) KLIMAKA's Active Participation at the 33rd Panhellenic Psychiatry Congress (Ioannina): Supported the presentation of pilot results from the "Anti-Suicide Shield" program at Laiko General Hospital, enhancing the visibility of the initiative and clinical data.
  • (2025) Collaborating with Laiko General Hospital to integrate dynamic questionnaires for use in emergency settings. [project]
SkillsLarge Language Models (LLM), Mental Health, Suicide Prevention, Project Management, Python, Data Analysis, Data Extraction, Data Processing, Version Control, Bioinformatics
Tech StackPython, OpenAI API, FastAPI, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers, Jupyter, Git, REST APIs, Mobile App Frameworks (Flutter/React Native), GDPR Compliance Tools, Data Visualization (Matplotlib, Seaborn, Plotly), Cloud Platforms (GCP, AWS)

Data Scientist (Automation & Analytics)

HSBC

June 2024 - Nov 2025 | Krakow, Poland

  • Led 50+ QC Oversight sessions, 15+ analytical reviews, and multiple tool evaluations (Tesseract, AWS Textract, clustering, semantic similarity models), delivering dashboards, hybrid scoring frameworks, and process improvements adopted across A&A and RCAS teams.
  • Developed 3+ major internal tools (QC Tracker, GenAI Solution Tracker, RCAS Resources Tracker), ran 20+ innovation sessions, automated data pipelines, and implemented prompt engineering & RAG architectures to optimize AI-driven compliance solutions.
  • Leading analytical projects across investigations, intelligence delivery, transaction monitoring, network analytics, and other Compliance Analytics initiatives, delivering solutions to complex investigations across multiple lines of business.
  • Developing end-to-end Data Science solutions and analytical models using statistical and machine learning techniques to provide actionable insights.
  • Conducting multi-dimensional data analysis and visualizations, performing R&D using advanced statistical and mathematical modeling, and identifying process improvement opportunities to support proactive strategy building.
Activities & Recognition
  • Presented a semi-supervised ML project (complaints classification using sentiment analytics) at Krakow University of Economics (2025.01) and HSBC Summer School (2025.09). [presentation] [presentation]
  • Represented HSBC at the UEK Job Fairs 2025, engaging with students and graduates on career opportunities in Risk, Compliance, Technology, Operations, and Finance. [volunteering event]
  • Participated in 10+ mentoring and coaching sessions, competitions (Hackathon, Learning Hub, Agile May), and contributed to D&I initiatives and onboarding support, positively impacting teams of 4–8+ members.
SkillsData Science, Machine Learning, Data Extraction, Data Analysis, Data Visualization, Automation, Compliance Adherence
Tech StackPython, SQL, Pandas, NumPy, SciPy, Git, scikit-learn, TensorFlow, Keras, BigQuery, GCP, Matplotlib, Seaborn, Plotly, Jupyter

Automation Specialist (Advanced Data Analytics)

Uber

Dec 2021 - May 2024 | Krakow, Poland

  • Working with Central & Country teams to identify which processes should be automated
  • Preparing tech documentation for the completed projects
  • Measuring the business impact of my automation initiatives
Projects
  • Implemented and maintaining 25+ automation projects (real-time, non real-time)
  • Project 1: Optimize Natural Language Processing (NLP) models to efficiently analyse drivers' open-end comments to understand patterns (topics clustering, sentiment) and increase DSAT (Driver Satisfaction)
  • Project 2: Optimise current Tabular Data Models to efficiently analyse restaurants features to understand patterns (feature importance) and predict the probability of churn, to enhance restaurants retention and satisfaction
Tech Stack
  • Programming Languages Python, SQL and JavaScript (Google Scripts)
  • APIs AWS S3, Google (Sheets, Drive, Email), Apache Kafka, Kirby (for Hive tables), Apache Thrift, QueryRunner (for Presto and Pinot), Grafana, Google BigQuery
  • Common Libraries NumPy, Pandas, Scikit Learn, NLTK, seaborn, requests, typing
  • Extra Tools uWork, Logger, Docker, Phabricator

Local Operations Intern

Uber

Mar 2021 – Sep 2021 | Athens, Greece

  • Analyzed rider and driver behavior using Advanced SQL and Python to extract business insights.
  • Identified areas for operational improvement through data-driven recommendations.
  • Designed and implemented a Taxi Fare Estimation optimization project for Athens & Thessaloniki to (1) improve user experience and (2) reduce fraud.
Tech StackPython, SQL, Pandas, NumPy, Google Sheets, Jupyter, Tableau

Machine Learning Research Assistant

Biomedical Research Foundation, Academy of Athens

Sep 2021 - Dec 2021 | Athens, Greece

  • Developed and published a web-based tool for COVID-19 severity prediction using machine learning. [Google Scholar] [DOI] [pdf] [website]
  • Conducting research on the effects of various factors in Parkinson's disease onset and progression, applying machine and deep learning techniques.
  • Applied feature importance analysis, visual explanation techniques, and embedding methods for Parkinson's classification using raw tabular data from the Greek Parkinson Database.
  • Built and tested machine learning pipelines for tabular data, including data preprocessing, model evaluation, and iterative optimization.
  • Collaborated with interdisciplinary teams to integrate bioinformatics insights into ML models.
Activities & Recognition
  • Presented a poster at the 6th HBP Student Conference on Interdisciplinary Brain Research. [poster]
  • Research highlighted in peer-reviewed publication: "A machine-learning-based web tool for the severity prediction of COVID-19"
  • Actively contributing to an ongoing manuscript on Parkinson's disease progression using machine and deep learning.
Tech StackPython, Scikit-learn, XGBoost, Keras, Pandas, NumPy, Matplotlib, Seaborn, Jupyter, Git

Data Science Intern

National Center for Scientific Research "Demokritos"

Sep 2019 - Oct 2019 | Athens, Greece

  • Developed diagnostic classification models for Alzheimer's disease using the Pitt Corpus dataset, which contains text and audio data from Alzheimer's patients.
  • Performed comprehensive data preprocessing including text normalization, feature extraction, and handling of imbalanced datasets with limited sample sizes.
  • Implemented cross-validation strategies to address the small sample size challenge, ensuring robust model evaluation despite limited data availability.
  • Applied advanced NLP and ML models including LSTM, CNN, and BERT for multi-modal classification of Alzheimer's disease from patient transcripts and speech patterns.
Tech StackPython, TensorFlow, PyTorch, Hugging Face Transformers, Librosa, Scikit-learn, NLTK, Pandas, Jupyter

Education

PhD in Bioinformatics

Ionian University

2025 – Present | Corfu, Greece

Multimodal AI for precision medicine — integrating clinical text, medical imaging, and omics toward better diagnosis, biomarker discovery, and personalized treatment. Supervised by Andreas Kanavos.

  • Building an interpretable multimodal framework that fuses EHR/clinical text, imaging, and tabular omics for predictive analytics in precision medicine.
  • Applying deep learning, NLP, and CNN-based medical imaging pipelines alongside hybrid statistical–ML models for genomic and proteomic data.
  • Prioritizing explainability (SHAP, Grad-CAM) and robustness on small, heterogeneous clinical datasets via transfer and few-shot learning.
  • Exploring LLMs with RAG to ground models in current literature and structured biomedical knowledge bases.
Activities & Recognition
  • (2026) Presented progress at the PhD Progress Seminar 2026 — Ionian University (multimodal AI for precision medicine). [seminar]
Research FocusMultimodal AI, Explainable AI, Precision Medicine, Bioinformatics, Deep Learning, NLP, Medical Imaging, LLMs, RAG

MEng, Electrical and Computer Engineering

National Technical University of Athens

2015 – 2022 | Athens, Greece

  • Major: Computing & Software Systems (GPA: 9.1/10.0, Top 5%).
  • Integrated 5-year engineering degree combining computer science, software systems, mathematics, signal processing, and intelligent systems.
  • Completed advanced coursework in machine learning, statistical signal processing, pattern recognition, software engineering, optimization, and data-driven modeling.
  • Thesis: "Machine & Deep Learning Classification and Visual Explanation of Dyslexia and Spelling Deficiency Using fMRI Data" [pdf] [slides]
  • Thesis focus: interpretable neuroimaging AI, combining classical ML and deep learning with visual explainability to support transparent decision-making in educational/clinical contexts.
Activities & Societies
  • Active in IEEE NTUA SB, EESTEC LC Athens, and broader IEEE student activities, with participation in technical events and algorithmic problem-solving initiatives.
  • Awarded 2nd place nationwide in IEEEXtreme 13.0; ranked 159/4103 teams globally (Top 4%). [award]
  • Supported student-led STEM engagement through workshop activities (including Arduino-focused sessions). [workshop]
  • Contributed to student-community initiatives and cross-disciplinary collaboration through outreach and volunteering during university years.
Academic HighlightsTop 5% cohort performance, high distinction GPA, interdisciplinary AI + neuroscience thesis, strong blend of theoretical foundations and applied ML engineering.
SkillsData Processing, REST APIs, Bioinformatics, Deep Learning, Data Science, Data Analysis, Data Visualization, Statistical Modeling, Machine Learning, MLOps, Version Control, TensorFlow, Computer Vision, Apache Spark, SQL, Data Extraction, NLP, Python, Signal Processing, Git

Minor in Finance

American College of Greece (Deree College)

2017 – 2020 | Athens, Greece

  • Focused on Finance and Data Analytics (GPA: 3.82/4.00).
  • Completed in parallel with NTUA studies, strengthening business literacy and decision-making frameworks alongside core engineering training.
  • Relevant coursework: Instruments & Markets, Foundations of Investments, Portfolio Management.
  • Awarded a Stavros Niarchos Foundation (SNF) Merit Scholarship for parallel studies at Deree. [scholarship]
Academic HighlightsParallel-track distinction with strong GPA; integrated finance knowledge with Python/ML analytics mindset for practical, data-informed decision support.
SkillsData Processing, Data Science, Data Analysis, Data Visualization, Machine Learning, Portfolio Management, Data Extraction, Python, Git

Summer School in Foundations of Neuroscience

Harvard University (Remote)

2021 | Online

  • Completed Foundations of Neuroscience Summer Program with SNF/ACG Scholarship.
SkillsData Processing, Data Analysis, Data Visualization, Data Extraction, Python

Licenses & Certifications

34th Panhellenic Congress of Psychiatry - Certificate of Attendance

Hellenic Psychiatric Association · Issued May 2026

[Show Credential]

34th Panhellenic Congress of Psychiatry certificate preview

Presented an e-poster on an LLM-powered pipeline for post-call analysis of suicide crisis hotline recordings (1018, KLIMAKA NGO), supporting clinical review workflows.

Certificate of Attendance | Blockchain & Cryptocurrencies Workshop

Get_Involved · Issued Mar 2021

[View Certificate]

Blockchain & Cryptocurrencies Workshop certificate preview

Introduction to Psychology

Coursera · Issued Dec 2020

[View Certificate]

The Complete Self-Driving Car Course - Applied Deep Learning Get certificate

Udemy · Issued May 2019

[View Certificate]

Certificate of participation in the Soft Skills Academy

Soft Skills Academy Athens · Issued Nov 2017

[View Certificate]

Soft Skills Academy certificate preview

Certificate in the Theory of Basic Coaching Skills

Coaching Evolution International | Pamela Caravas · Issued Apr 2017

[View Certificate]

Basic Coaching Skills certificate preview

Certificate of Proficiency in English

University of Michigan · Issued May 2013

[View Certificate]

Certificate of Proficiency in English preview

Diplome d’Etudes en Langue Francaise/ Delf B2

Institut francais · Issued May 2013

Adobe Dreamwaver ®CS3

Certiport - A Pearson VUE Business · Issued Feb 2012

[View Certificate]

Microsoft Office Specialist - Master

Microsoft · Issued May 2011

[View Certificate]

IC3 Key Applications

Certiport - A Pearson VUE Business · Issued May 2005

[View Certificate]

AI Advanced

HSBC · Issued Nov 2025 · Expires Nov 2027

Credential ID: 6f992943-1916-411e-a59c-e3ccc7319e45

[Show Credential]

i-Days 2025: Certificate of Participation

EIT Health · Issued Nov 2025

Credential ID: 72d532a21194

[Show Credential]

Certificate of Attendance - Bio3 Forum 2025

BioInnovation Greece · Issued Sep 2025

[Show Credential]

Bio3 Forum 2025 certificate preview

Machine Learning in Production

DeepLearning.AI · Issued Aug 2025

Credential ID: 9WZV4QBFY7O9

[Show Credential]

  • Identify key components of the ML project lifecycle and select deployment/monitoring patterns for different production scenarios.
  • Optimize model performance by prioritizing disproportionately important examples and key dataset slices.
  • Solve production challenges across structured, unstructured, small, and big data with strong label-consistency practices.

ASPIRE: Growth Mindset

HSBC · Issued Jun 2025 · Expires Jun 2027

Credential ID: cb635d34-ca2a-40bc-a6e8-81ba8a0decc9

[Show Credential]

Certificate of Completion | Intro to Neural Spike Analysis in Python

Universitatsklinikum Bonn · Issued Jun 2025

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Neural spike analysis certificate preview

  • Characterizing and visualizing neural spiking with Pandas, Seaborn, and SciPy.
  • Simulating and analyzing synchronous spiking events with Elephant.
  • Preprocessing and spike sorting with Scikit-Learn and SpikeInterface.

Certificate of Completion | Early Health Technology Assessment

InnoStars · Issued Jun 2025

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Early HTA certificate preview

  • Economic environment for medical technologies.
  • Early-phase health technology assessment.
  • Business model and value framework development.
  • Strategic pricing and NPV calculations.
  • Engaging health care providers and patients as purchasers.
  • Company valuation, investor relations, and exit strategies.

Certificate of Completion | Generative AI for Healthcare

Google · Issued Feb 2025

Credential ID: 14142481

[Show Credential]

Certificate of Completion | HelloAI Advanced RIS Scholarship

EIT Health · Issued Jan 2025

Credential ID: vpnbd7fxja

[View Certificate]

HelloAI Advanced RIS certificate preview

Certificate of Completion | Building Robust Experiments with Python and PsychoPy

Universitatsklinikum Bonn · Issued Dec 2024

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Building robust experiments certificate preview

  • Setting up experiments with PsychoPy for behavioral research.
  • Field validations using Pydantic for data integrity.
  • Using mocks and patches to simulate dependencies during testing.
  • Automated testing with Pytest for robust and reliable experiments.

Certificate of Completion | ANDA-NI Neuroinformatics

Universitatsklinikum Bonn · Issued Sep 2024

[Show Credential]

ANDA-NI Neuroinformatics certificate preview

"ANDA-NI Neuroinformatics: Electrophysiological Data Processing and Packaging with Python, Nix, Neo, and DataLad"

  • Data representations for neuroscience data and metadata: JSON, YAML, HDF5, NIX, and Neo.
  • Version control and data management with Git, Git-Annex, and DataLad.
  • Data sharing platforms with GitHub and Gin-G-Node.

Project Management: Solving Common Project Problems

LinkedIn · Issued May 2022

[Show Credential]

International English Language Testing System (IELTS)

British Council · Issued Nov 2020

[View Certificate]

IELTS certificate preview

Skills

Technical Skills

Languages

Python C/C++ SQL (PostgreSQL, BigQuery) MATLAB Java HTML/CSS/JavaScript Bash/Shell Google Apps Script

Machine Learning & AI

PyTorch TensorFlow Scikit-learn XGBoost LightGBM Computer Vision OpenCV Distributed Training MLflow

Generative AI & Agents

LLM Orchestration LangGraph LangChain LlamaIndex OpenAI API Agentic Patterns Tool Use Multi-agent Systems RAG Vector Databases Pinecone Hybrid Retrieval NLP Hugging Face Transformers Fine-tuning (LoRA) Embeddings Tokenization

Data & Infrastructure

Pandas Spark Kafka Airflow SQL Google Cloud Platform Docker Kubernetes CI/CD REST APIs Model Serving Grafana

Bioinformatics & Medical AI

Multimodal Fusion fMRI Omics (Tabular) SHAP Grad-CAM CNNs MRI Transfer Few-shot Learning Genomics Proteomics

Visualization & Tools

Plotly Seaborn Matplotlib Tableau Bash

Languages

Greek Native
English Fluent
French Intermediate
Spanish Intermediate

Honors & Awards

🥇 BR4N.IO Hackathon x IEEE-SMC-2025 | 1st Place 🥇

Worldwide: 1st place in the Data Analysis category

Participation: Among 69 teams and 404 participants from 50+ countries 🌍

Event: Brain ECoG Hackathon 2025, organized by g.tec medical engineering GmbH and IEEE SMC, Vienna, Austria 🧠🏆

Associated with: Klimaka NGO

Issued by: g.tec medical engineering GmbH, IEEE SMC · Oct 2025

CERTIFICATE: View Certificate

🥈 EIT Health i-Days 2025 | 2nd Place 🥈

Nationwide: 2nd place 🏆

Participation: Among 11 teams across undergraduate and postgraduate programs

Event: i-Days 2025, organized by EKT & EIT Health, in collaboration with National & Kapodistrian University of Athens (NKUA) 🌟

Project: HygeIA – AI-powered first-aid app providing step-by-step basic life support guidance and connecting users to 112, leveraging a Greek Large Language Model (LLM) 🤖

Associated with: Klimaka NGO

Issued by: EIT Health, Eθνικό Κέντρο Τεκμηρίωσης και Ηλεκτρονικού Περιεχομένου - National Documentation Centre (EKT) · Nov 2025

CERTIFICATE: View Certificate

🏅 Honorary Award | Ministry of Education & Eurobank EFG
Recognized for achieving the highest Nationwide University Entrance Examination Score at my Senior High School.
🎓 Scholarship | Stavros Niarchos Foundation (SNF)
Scholarship for Parallel Studies at Deree – The American College of Greece.
🏆 Competition Award | IEEE NTUA SB
2nd place in "IEEEXtreme 13.0" algorithmic programming competition.

Volunteering & Activities

Volunteer

  • Organization: Wheeling2Help NGO
  • Period: Jan 2024 - Present
  • Responsibilities: Focusing on community empowerment, I engaged in environmental conservation, sports development, and educational support initiatives. This experience deepened my understanding of sustainable development and reinforced my commitment to meaningful change.

Marketing Coordinator

  • Organization: CogniHub (Interdisciplinary Non-Profit Student Organization)
  • Period: Jan 2021 - Nov 2023
  • Responsibilities: Conducting competitive marketing research and organizing events.