Amir Mojahedi

Legal name: Seyedamirmohammad Mojahedi.

I am an Automation Engineer with 4+ years of experience, rooted in Control Engineering. My academic training — feedback systems, stability analysis, frequency-domain methods — shapes how I approach automation: not as a collection of scripts, but as a system with inputs, outputs, reliability constraints, and observable behavior. I design and operate automation solutions across RPA, infrastructure, and API-driven workflows, with a focus on correctness, repeatability, and production readiness.

Professional Experience

At ACI Informatica S.p.A., I work across RPA and infrastructure automation in public-sector environments: document processing workflows with Kofax RPA (50%+ reduction in time and cost), production Ansible playbooks for deployment standardization (50%+ fewer configuration errors, ~60% less manual release intervention), and ServiceNow integration via REST APIs that quadrupled support responsiveness across operational teams.

At SIAED S.p.A., I designed and operated unattended automation for HR and banking clients using UiPath and Python: up to 90% of manual HR workload eliminated, 70% efficiency improvement for a banking client's core workflows, and a Python-based invoice extraction pipeline that cut processing time by 95% and directly secured contract renewal.

Engineering and Research Foundation

I hold a Master of Science in Control Engineering from Sapienza University of Rome (awarded the DiSCo Lazio Scholarship for Academic Merit) and a Bachelor of Science in Electrical Engineering – Control Systems from Babol Noshirvani University of Technology.

My MSc thesis, developed in collaboration with TU Delft under Dr. S. H. Hossein Nia Kani and Dr. Antonio Pietrabissa, proposed a coherence-based criterion to quantify nonlinearity in closed-loop reset control systems and a tuning approach to improve the reliability of frequency-domain analysis — validated in MATLAB/Simulink against Describing Function and HOSIDF methods.

Tools & Technologies

Current Direction

I am expanding from task-level automation toward platform-level engineering — combining DevOps infrastructure practices with AI-agent system design. The underlying orientation stays the same: treat systems as observable, controlled processes where reliability is designed in, not patched in.

Download CV (PDF) Academic CV (PDF)