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mohsen seyedkazemi ardebili

@mskazemi
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Mohsen Seyedkazemi Ardebili

Platform Engineer · AIOps · MLOps · LLM-Orchestrated Infrastructure
Research Fellow, University of Bologna · Bologna, Italy


I build autonomous AI systems that act on infrastructure — not just explain it. Seven years of hands-on ops in mission-critical industrial environments before a PhD in HPC systems gives me a different lens: I care about correctness, observability, and production trust.


Featured Project

KubeIntellect — Autonomous Kubernetes Operations

LLM-orchestrated multi-agent framework for root cause analysis, diagnosis, and human-gated cluster operations across the full Kubernetes API surface.

Python LangGraph FastAPI Kubernetes

  • LangGraph FSM supervisor with PostgreSQL checkpoints and human-in-the-loop approval gates
  • Dynamic Code-Generator agent: sandboxed tool synthesis and validation at runtime
  • Modular domain agents: logs, metrics, RBAC, lifecycle, scheduling, exec, proxy
  • 93% tool synthesis success rate · 100% reliability across 200+ queries

Other Projects

Project Description Key Metrics Stack
kube_q CLI + Python SDK for KubeIntellect Streaming responses, Rich TUI Python
AOBench Agent Operations Benchmark — role-aware, permission-enforced, trace-based HPC agent evaluation 80 tasks · 26 environments Python, LLM Eval, MCP
GRAAFE Graph anomaly anticipation for exascale HPC AUC 0.91 · 1000+ nodes Python, GCN
HazardNet Thermal hazard prediction for datacenters F1 0.99 · <100ms inference Python, TCN/LSTM

Research

PhD: Design, Analysis, and Management of High-Performance Computing Systems · University of Bologna (2018–2022)

EU Projects: DECICE · Graph-Massivizer · EUROPEAN PILOT · REGALE · EPI SGA1 · SEANERGYS

Scholar:

Citations h-index i10-index
179 (154 since 2021) 7 6

Selected Publications

Title Venue Year Citations
KubeIntellect: A Modular LLM-Orchestrated Agent Framework for Kubernetes Management arXiv 2025 —
M100 ExaData: A Data Collection Campaign on CINECA's Marconi100 Tier-0 Supercomputer Nature Scientific Data 2023 50
PM100: A Job Power Consumption Dataset of a Large-Scale Production HPC System SC'23 Workshops 2023 21
GRAAFE: Graph Anomaly Anticipation Framework for Exascale HPC Systems FGCS 2024 17
HazardNet: Thermal Hazard Prediction Framework for Datacenters FGCS 2024 —
Multi-level Anomaly Prediction in Tier-0 Datacenter ACM Computing Frontiers 2022 —

All publications →


Stack

Platform & Infrastructure

Kubernetes Helm Terraform Azure Docker Linux

AI / ML

Python PyTorch LangGraph FastAPI MLflow

HPC

Slurm MPI OpenMP

Observability

Prometheus Grafana OpenTelemetry


Academic Service

PC Member: PDP 2025 · PDP 2026 · AsHES 2026

Reviewer: IEEE TCAD · FGCS · Journal of Grid Computing · SC · ACM CF · DATE · PDP · AsHES

Supervision: 2 PhD co-advisees (ongoing) · 5 MSc theses completed · Lab of Big Data Architectures, UniBo (2020–2024)


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About

PhD in Electronics, Telecommunications, and Information Technologies Engineering.

Info

University of Bologna
Bologna, Italy
1:35 PM
Member since October 10, 2018

Contact

www.unibo.it/sitoweb/mohsen.seyedkazemi/en
mohsen.seyedkazemi@gmail.com
mskazemi
@mohsenardebili
MSKazemi
0000-0002-1166-6559