Kindle Style Mobile App
Full-Stack Developer
01 / Capabilities
PyTorch, TensorFlow, YOLOv11n and OpenCV — healthcare risk modelling, medical image analysis and interpretable prediction.
Peer-reviewed journal articles, conference papers and book chapters — bibliometric analysis and scientific mapping in R, Bibliometrix and VOSviewer, from literature synthesis through to the finished manuscript.
Scopus-scale institutional datasets in Python, R and PostgreSQL — record linkage, author matching and data-quality analysis, reproducible from raw export to Metabase dashboard.
Modern, scalable applications with Next.js, Nest.js, MongoDB, Redis, PostgreSQL and Docker — and cross-platform mobile in Flutter and Swift, shipped through TestFlight.
Bare-metal applications on STM32, Arduino and ESP32 in C/C++, where the constraint is the interesting part.
CI/CD pipelines, Docker containers on Linux, GitHub Actions and monorepo structures that keep delivery boring.
02 / Research
2025
2025
Research Trends and Thematic Insights from the Most Cited Cybernetics Studies in the Last Ten Years Using Text Mining and Bibliometric Analysis — Proceedings of the 6th International Conference on Problems of Cybernetics and Informatics
03 / Experience
Full-Stack Developer

Full-Stack Developer

UI Developer

Full-Stack Developer
04 / Contact

Always open to exciting ideas, freelance collaborations, or just geeking out over tech.