AI systems
Federated learning, machine learning, and retrieval-augmented generation.
Federated learning, machine learning, and retrieval-augmented generation.
Web and mobile application development for client-oriented software projects.
Energy-market diagnostics and EU electricity-market regulation research.
About
I am based in Bucharest, Romania, with academic training at the Bucharest University of Economic Studies and professional experience building client-oriented software.
I combine software engineering practice with applied research. My work connects client-oriented software development, law, and published research on AI systems, financial fraud detection, and EU electricity-market regulation.
Experience
My professional path brings together practical software development, economic informatics, and legal studies.
WWWEBMARC.COM SRL, Bucharest
Development of web and mobile applications for client-oriented software projects.
Faculty of Law, Bucharest University of Economic Studies
Training in interpreting and applying legal norms for labor relations, economic entities, and competition-market regulation.
Faculty of Cybernetics, Statistics and Economic Informatics, Bucharest University of Economic Studies
Foundation in structured and scalable software development, object-oriented programming, Java, SQL, and relational data modeling.
How I Work
Publications
My research focuses on federated learning for fraud detection, agentic AI for electricity markets, and trustworthy retrieval-augmented generation.
Ali, Ș. (2025). Evaluating Deep Learning and Machine Learning Models in Federated Learning for Credit Card Fraud Detection. A comparative study. Database Systems Journal, 16(1), 37-44.
Ali, Ș., Oprea, S.-V., & Bâra, A. (2026). Agentic AI for Price-Only 15 min SDAC Market Diagnostics in Central and Eastern Europe. Applied System Innovation, 9(5), 93. DOI
Ali, Ș., Oprea, S.-V., & Bâra, A. (2026). Engineering Trustworthy Retrieval-Augmented Generation for EU Electricity Market Regulation. Electronics, 15(4), 749. DOI
Vidat, A., Ali, Ș., & Negrei, C. (2025, December 12). Digitalization, mobility in the EU: Implications for companies and medical professions in the age of artificial intelligence. The International Conference “Perspectives of European Business Law”, 4th edition.
Andrei, N.-A., & Ali, Ș. (2026). Benchmarking XGBoost, LSTM, and Chronos for one-hour-ahead commercial building energy forecasting. The 25th International Conference on Informatics in Economy (IE 2026).
Kagitci, M., & Ali, Ș. (2026, June 25-27). AI adoption and firm innovation: Evidence from firm-level predictive models. BASIQ International Conference on New Trends in Sustainable Business and Consumption, 12th edition, Porto, Portugal.
Reviewer for IAES International Journal of Artificial Intelligence, 2026. Scientific review activity in artificial intelligence. Certificate no. 32782/IJAI/1-R1/5/2026.
Skills
I use these technical, research, and professional skills across software projects and academic work.
Contact