Mission Statement
Data scientist (PhD) with 5+ years of experience building and deploying production ML systems at scale in the life sciences domain. Proven track record designing scalable pipelines that process billions of data points and transforming research prototypes into production-grade systems. Deep expertise in data quality, entity resolution, and duplicate detection. Actively building skills in LLMs and agentic AI to deliver intelligent automation.
Experience
Senior Data Scientist / Data Scientist
Veeva Systems – Link ProductSenior Data Scientist (Mar 2024 – Feb 2026) · Data Scientist (Dec 2021 – Feb 2024)
- Built scalable ML models for clustering medical activities into expert profiles, applying entity resolution and duplicate detection at production scale – processing billions of activity pairs per run and generating millions of automated profiles across US, EU, LATAM, and APAC regions.
- Transformed exploratory Jupyter Notebook prototypes into production-ready PySpark + Airflow pipelines on AWS EMR, with MLflow for experiment tracking and model deployment, Docker and Kubernetes for containerized services, testing, monitoring, and CI/CD integration, collaborating with cross-functional engineering teams.
- Assessed data quality using precision–recall metrics with threshold-based quality tiers, ensuring very high precision while substantially reducing manual curation costs.
- Organized Data Science meetups, technical talks, and team activities to promote knowledge sharing and strengthen engineering culture.
Full-Stack Engineer / Data Engineer & Technical Team Co-Leader
HPI Schul-Cloud – DataportFull-Stack Engineer (Jan 2021 – Nov 2021) · Data Engineer / Technical Team Co-Leader (Apr 2020 – Dec 2020)
- Built and maintained data pipelines for 300k+ educational assets, improving structure, reliability, and discoverability for end users.
- Implemented systematic data preparation, cleaning workflows, and duplicate-detection methods to ensure data quality at scale.
- Contributed across the full stack (Python, Vue.js, PostgreSQL, Docker, Kubernetes) to maintain and scale the educational platform.
- Led technical requirements clarification, team operations, and onboarding during a multi-month organizational transition.
Research Consultant
SAP & SAP Concur- Developed 3 novel ML pipelines in Python and Java to improve duplicate detection, increasing matching success by 18%.
- Delivered on-site technical tutorials at SAP Concur Seattle (USA) on data matching classification and pipeline optimization.
Technical Skills
Programming Languages
Python
SQL
Java
JavaScript
C/C++
ML & Data
PySpark
scikit-learn
PyTorch
Pandas
MLflow
Apache Spark
Apache Airflow
Infrastructure & DevOps
AWS (EMR, S3)
Docker
Kubernetes
CI/CD
FastAPI
Git
pytest
Databases
PostgreSQL
MongoDB
Data Quality
Entity Resolution
Duplicate Detection
Record Linkage
Data Cleaning
Data Preparation
AI & LLMs
Large Language Models
LangChain
Agentic AI
Certificates
AI & LLM Engineering (Udemy)
Udemy ∙
October 2025
Completed during July - October 2025 a comprehensive series of courses covering modern AI engineering practices:
Courses completed:
- AI Automation: Build LLM Apps & AI-Agents with n8n & APIs - Practical LLM automation for daily tasks including Telegram voice messages, Google Calendar booking, and email management
- The Complete Agentic AI Engineering Course - Built multi-agent systems using OpenAI, CrewAI, LangGraph, and MCP. Created sales agents, deep research tools, stock pickers, and 4-agent engineering teams
- LLM Engineering: Master AI, Large Language Models & Agents - Explored multi-modality, RAG pipelines, model fine-tuning, and multi-agent systems for product price optimization
- LangChain: Develop AI Agents with LangChain & LangGraph - Implemented Chain of Thought, ReAct, and Few Shot techniques. Built RAG pipelines with vector databases and worked with Model Context Protocol (MCP)
Generative AI with Large Language Models
Coursera ∙
July 2025
Three-week course covering the complete LLM lifecycle: Transformer architecture and pretraining, fine-tuning techniques including Parameter Efficient Fine-Tuning (PEFT) with LoRA and Soft Prompts, and Reinforcement Learning with Human Feedback (RLHF). Explored Chain-of-Thought reasoning and the ReAct framework that underlies modern agentic AI systems.
Deep Learning Specialization
Coursera ∙
January 2021
Foundational specialization from Coursera on Deep Learning. Comprised of the following courses:
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
- Structuring Machine Learning Projects
- Convolutional Neural Networks
- Sequence Models
Through it I got a hollistic refreshment and further expansion of my knowledge on the primary Deep Learning fundamentals and models.
Education
Intensive German Course – Levels A2.2, B1.1, B1.2
Die Neue Schule, BerlinIntensive German language course in Berlin, progressing through levels A2.2, B1.1, and B1.2.
PhD in Computer Science – Data Preparation & Domain-Agnostic Duplicate Detection
Hasso Plattner InstituteThesis on Data Preparation and Domain-Agnostic Duplicate Detection, supervised by Prof. Felix Naumann. Defended with distinction (Magna cum Laude). Published 7 papers in top-tier journals and conferences. Organized 6 project seminars on Duplicate Detection, Data Preparation, Blockchain, Text Mining, and Recommender Systems.
Read dissertationMSc Computer Science – Theta-Joins on MapReduce
Aristotle University of ThessalonikiImplemented thesis in Python, Java, and Hadoop; published in top-tier conference. Awarded State Scholarship Foundation scholarship. Vice Chair of local ACM Student Chapter. Participated in ACM SIGMOD 2013 programming contest (streaming system in C++).
Read thesisBSc Computer Science – Recommender System on MapReduce
Aristotle University of ThessalonikiImplemented thesis in Java and Hadoop; published in top-tier journal. Interned at IT Center performing system and database administration.
Read thesis (in Greek)Languages
🇬🇷
Greek
Native
🇬🇧
English
Fluent
🇩🇪
German
Intermediate (B1)