I work at the intersection of sustainable software engineering, efficient data architectures, and process mining for healthcare.
My recent work focuses on hybrid MySQL–NoSQL models, resource-efficient backend design, and reproducible experimentation.
- M.Sc. in Software Engineering, Islamic Azad University, Tabriz (2025)
Thesis: Design of a Hybrid MySQL–NoSQL Architecture for Sustainable Process Mining in Healthcare Systems - B.Sc. in Computer Engineering, Islamic Azad University, Tabriz (2022)
- A Literature Review of Process Mining in Healthcare (Springer (International Journal of Data Science and Analytics – 2026))
- Using Advanced Learning Techniques to Predict Software Defects: A Systematic Literature Review (IEEE - 2025)
Backend & Programming: Python, Django, FastAPI, SQL
Databases: MySQL, Redis, basic experience with graph & vector databases
Process Mining: ProM (Alpha, Heuristic Miner, Inductive Miner), Disco
ML & Data: pandas, scikit-learn, feature engineering, classical ML
DevOps: Git, Docker
Academic: Systematic literature review, scientific writing, reproducible experiments
- Email: aydinfakhri9@gmail.com
- LinkedIn: https://www.linkedin.com/in/aydin-fakhri/
- GitHub: https://github.com/aidinfk
Exploring sustainable backend optimization, hybrid data architectures, and efficient process-mining pipelines for healthcare systems.