Mario Trerotola
@mariotrerotolaCTO building AI products that solve real problems. PhD in AI @PoliTo. Previously co-founded an Exor-backed PropTech startup and built AI systems for financial
Language Breakdown
Lines of code distribution across 11 owned repositories
T-Shaped Developer
T-shapedDeep in Python with broad versatility
Collaboration Network
Global Impact visualization
Repos
16
PRs
0
Growth
+18%
Top Collaborators
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Coding Streak
Contribution activity over the past year
Top Repositories
Desktop app for local video transcription with word-level timestamps and click-to-seek, powered by faster-whisper
Automated MiCAR compliance screening and scam detection for crypto-assets. Combines LLM semantic extraction with a deterministic rule engine for auditable, jurisdiction-agnostic regulatory analysis.
Three Python patterns for EU AI Act compliance — explainability, human oversight, and audit logging. Code runs today. Deadline is August 2, 2026.
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物
Models should not just predict — they should explain why. CTO, AI researcher, sailor ⛵
Lightweight async multi-agent framework for Python. Build multi-agent systems with pure asyncio — no XMPP, no infrastructure, no external dependencies. Features cyclic/periodic/FSM behaviours, FIPA-style messaging, broadcast, and message templates.
Rust-only agent-based market simulator for microstructure research, execution strategy testing, and privacy-preserving federated learning experiments.
The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms.
Production-ready Python bridge between Twilio phone calls and OpenAI Realtime API — with LangChain tools, MCP servers, and multi-tenant routing.
Open Source Impact
Contributions to external projects
