I am Christos Papagiannopoulos, MSc, PhD, an AI/ML & Data Engineer / Health Researcher.
🧠 My background and experience focus on Machine Learning, Programming and Cloud, and their application in industries such as Pharma, Public Health, Banking, Energy, and Academia.
💻 I have >3 years of professional experience in developing and deploying predictive models, RAG systems, and Azure-based AI and data architectures, with a strong ability to coordinate and manage multiple tasks efficiently.
🎓 I have authored scientific publications applying Machine Learning with a research portfolio in molecular and genetic epidemiology having PhD in Molecular & Cancer Epidemiology investigating whether prevalent molecular dysregulations linked to cancer incidence.
- Programing and scripting: Python, R, SQL, bash, Stata, C, HTML
- Data manipulation: pandas, regex, numpy, tidyverse
- Databases: MySQL, postgress, MongoDB, APIs & Web Scraping
- Machine learning: scikit-learn, lightgbm, xgboost, caret, e1071
- Deep learning: tensorflow, keras
- Generative AI & Agentic Systems: LLMs, RAG, MCP, Prompt Engineering, AI Evaluation Frameworks
- Cloud Computing: Azure AI Search, Azure Functions, Azure Data Factory, Azure Blob Storage, Azure Document Intelligence, Azure DevOps, Azure AI Foundry, Azure OpenAI
- Data visualization: Power BI, matplotlib, seaborn, ggplot, Rshiny, dash, plotly, excel
- Version control system: Git, GitHub, GitLab
