Arman Feili is a full-stack engineer and MSc Data Science student based in Rome with 8 years of professional experience building data-intensive, production-grade platforms. He has led end-to-end projects from a global COVID-19 tracker (vaccovid) serving thousands of daily API requests to core front-end infrastructure for a cloud ERP used by over 10,000 businesses. His master’s and thesis work at Sapienza and CINECA focus on reliable NL→DB/graph orchestration, federated learning, and agent safety, blending ML research with ops-ready engineering (Docker, Kubernetes, Prometheus). Comfortable across the stack—from Neo4j/PostgreSQL and Redis to React/Next.js and AWS EKS—he excels at architecting microservice backends, high-reliability APIs and observability. Notably, he built a multi-tenant agentic platform that converts natural language into Cypher/SQL with RBAC, audit logs and safety filters, demonstrating a rare combination of applied research and production-grade system design.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree Computer Software Engineering, Bachelor's degree Computer Software Engineering at Islamic Azad University of shiraz
Master's degree Data Science, Master's degree Data Science at Sapienza Università di Roma
Generate both extractive and abstractive summaries from a comprehensive report from covid-19 datasets.
Contributions:30 commits, 6 PRs, 27 pushes in 4 months
corpusdatasetreportyelpsummarization
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Arman Feili - MSc Student at Sapienza Università di Roma