Arman Feili
Master Thesis Project @CINECA
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WORK HISTORY
Master Thesis Project @CINECA
Rome, IT
Built a secure, multi-tenant agentic platform (FastAPI + Memgraph + Redis) that turns natural language into Cypher/SQL/NoSQL and runs tool-driven workflows. Exposes clean REST APIs for one-shot runs and chat sessions, with RBAC and audit logs- Agent orchestration: sessions, roles/prompts, tool registry, per-tool LLM prefs- Model hub: multi-provider LLM registry with admin APIs, staging/activation, smoke tests- Safety: intent filters, PII scrubbers, output guards (toggleable)- Observability: Prometheus metrics, Grafana dashboards, structured logs/traces- Ops-ready: Docker Compose stack (app, Memgraph, Redis, Prometheus/Grafana), health/ready/startup probes, end-to-end tests- API surface: health/JWT auth,/v1/agent-runs, session lifecycle,/v1/tools,/v1/models (chat/completions/embeddings),/v1/admin (opt-in).Part of my MSc thesis on reliable NL→graph queries and runtime agent safety.
EDUCATION
Sapienza Università di Roma
Master's degree
Islamic Azad University of shiraz
Bachelor's degree
ABOUT ARMAN FEILI
Full-Stack Developer and Data Science enthusiast currently pursuing an MSc at Sapienza University of Rome, with a strong track record of delivering impactful projects. I developed a global Covid-19 Tracker Website and API, which became a top-ranked resource on RapidAPI, and contributed to a cloud-based ERP system at System Group. My internship at Sapienza involved implementing Federated Learning models, further solidifying my expertise in distributed machine learning. Additionally, I created a scalable personality-based career selection web application using cutting-edge technologies like React, Next.js, and AWS. I also co-authored a published paper on generating and summarizing global Covid-19 reports using NLP techniques. My technical skills include Python, JavaScript, React.js, Node.js, SQL/NoSQL databases, Docker, Kubernetes, and AWS services, with a passion for turning innovative ideas into real-world applications.
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