AI Systems Engineer and Data Scientist passionate about building intelligent systems at the edge of modern technology.
I approach problems from a structural and systems perspective — selecting the right tools, languages, and architectures based on the nature of each project rather than sticking to a fixed stack.
- Multi-agent AI systems for structured reasoning and decision workflows
- Causal analysis pipelines for EEG and brain connectivity research
- Applied machine learning and data science solutions
- Automation systems designed for real-world impact
- Systems-first thinking: choosing tools based on problem structure
- Strong adaptability across technologies and domains
- Ability to work across multiple programming domains and paradigms
- Focus on building complete, working systems — not just isolated scripts
- Continuous exploration of cutting-edge AI and computational paradigms
- Programming: Python, C++, Java (and more)
- AI Systems, Multi-Agent Architectures, LangGraph
- Machine Learning, Data Science, NLP, Signal Processing
- Data Analysis, Statistical Modeling & System Design
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M.Sc. Computer Science (ongoing) — University of Milan, Italy
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Earlier Focus: Quantum Information (initial Master's track)
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B.Sc. Computer Engineering — University of Bojnord, Iran
- Government-funded full scholarship (B.Sc., Iran)
- Full scholarship from Pasargad Bank (Khatam University, Iran)
- Merit-based scholarship (Italy)
- Synapse Council — multi-agent orchestration system for reasoning, debate, and synthesis
- BrainFlow Insight — EEG-based causal connectivity analysis
- Job Similarity Engine — TF-IDF and cosine similarity in C++
- Professional barista experience (high-pressure, real-world environment)
- Competitive mindset in chess and table tennis
- Highly challenge-driven with diverse real-world experience
Milan, Italy