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SimoneChiarelli

Computer Engineer · Cybersecurity · LLM/RAG systems. I build secure, intelligent software at the intersection of engineering and applied research.

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Selected work

Portfolio

Projects across security, AI systems, and software engineering.

AI Engineer

Multi-Agent Binary Explorer

Multi-agent system for binary analysis and vulnerability classification, combining static analysis (Ghidra) with CWE RAG. Features a Python orchestrator, ReAct agents, MCP integration, and full observability via MLflow and Langfuse.

LLMRAGMCP

Cybersecurity

Machine Learning For Malware Detection

Machine learning pipeline for Android malware detection using the Kronodroid dataset. Developed as a Bachelor's thesis, it explores ensemble classification and anomaly detection with multiple preprocessing strategies.

PYTHONMACHINE-LEARNINGMALWARE

Software Engineer

Decentralized Database BigChainDB

Automated 4-node BigchainDB network featuring Byzantine Fault Tolerant consensus, Streamlit and React dashboards, and end-to-end asset lifecycle management on a distributed ledger.

BLOCKCHAINBIGCHAINDBTENDERMINT

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Features

Available

Available content — click to explore.

Live

CTF Write-ups

Step-by-step walkthroughs of CTF challenges: binary exploitation, reverse engineering, web vulnerabilities. From CyberChallenge to international competitions.

Live

Finance

Personal finance tools: bond calculators, yield analysis, and more. All browser-based, no data sent.

What's coming

Roadmap

Features in the pipeline — each locked section will ship as standalone content or interactive tool.

Q3 2025

Security Toolbox

Browser-based micro-tools: hash analyser, encoder/decoder, JWT inspector, regex tester. No backend, no data sent.

Q3 2025

LLM/RAG Lab

Live demos of RAG pipelines, prompt injection experiments, and MCP integrations — interactive notebooks via Pyodide.

Q2 2025

Certifications Roadmap

Visual progress tracker: IELTS, eJPT, OSCP pathway. With notes, resources and honest difficulty ratings.

Q4 2025

Binary Explorer — Live

Hosted version of my MSc thesis: upload a binary, get an AI-assisted vulnerability report via Ghidra, FAISS and an LLM agent.

Q3 2025

Research Notes

Long-form notes on papers I study: adversarial ML, LLM security, formal verification, zero-trust architecture.