3
3
Italy
5+ years of experience
Lead AI Architect & Venture Innovator specialized in autonomous agent orchestration and enterprise-grade RAG. Core Stack: Python | LangGraph | Google Gen AI SDK | OpenAI API | Bright Data MCP | ChromaDB | Flutter AI Specialization: Multi-agent workflows, autonomous tool-calling loops, real-time scraping pipelines, and localized LLM streaming. Enterprise & Venture: Co-founded "Unlocker" within NTT DATA’s ReadySetIdea corporate accelerator, using Lean Startup methodology to validate market fit and architect a hospitality MVP. Proven Hackathon Execution: Google x Kaggle Challenge: Built an automated YouTube SEO agent with autonomous orchestration loops. Bright Data Hackathon: Engineered "Pulse AI" utilizing MCP and Streamlit for real-time insight dashboards. Milan AI Week: Developed "AgentOps-360" for multi-agent contract auditing using LangGraph on Vultr Cloud. NTTDATA Axet International Hakathon: Deployed "Tasker" assistant app with production RAG pipelines. Let's connect if you need an architect to scale complex agent topologies and secure a winning pitch.

PulseAI is a production-ready, autonomous Go-To-Market (GTM) intelligence platform designed to eliminate manual competitor research. Built during the Web Data Unlocked Hackathon, the platform utilizes a sophisticated three-agent orchestration workflow to transform raw, scattered web data into actionable sales signals.First, the Lead Researcher Agent utilizes the Bright Data Model Context Protocol (MCP) to securely scan the live web for real-time updates, including sudden pricing tier shifts, strategic job postings, and corporate news. Second, the Guarded Analyst Agent processes this raw scraped data through GPT-4o, applying strict operational guardrails and extraction prompts to ensure zero hallucinations; every single extracted metric is paired with a verified source quote for enterprise trust. Third, the SDR Copywriter Agent instantly transforms these intelligence insights into highly targeted, personalized cold outreach emails alongside structured JSON data packages ready for direct CRM integration into Salesforce or HubSpot.By replacing slow, inaccurate manual tracking with continuous 24/7 execution, CompetitorPulseAI allows enterprise revenue teams to react instantly to market shifts, protect their pipeline, and win more deals at a processing cost of just five cents per run.
31 May 2026

AgentOps-360 transitions corporate legal workflows from passive chatbot "copilots" into a proactive, fully autonomous decision-making engine built for real enterprise utility. The Problem: Enterprise procurement managers waste up to 15 hours manually verifying dense, multi-page vendor agreements. Under heavy deadline pressures, it is incredibly easy to miss hidden auto-renewal traps, ambiguous service level agreements (SLAs), and severe data privacy liabilities. Our Solution: AgentOps-360 provides a clean, single-file drop interface that autonomously extracts raw text, maps legal risks into prioritized structured data tables, and delivers an explicit, validated Go/No-Go directive with concrete risk mitigation advice. The Stack & Architecture: Deployed natively on isolated, high-performance Vultr Cloud Compute VMs for low latency and fixed hosting costs. To bypass open-source token limits under heavy enterprise traffic, we designed a parallel Map-Reduce workflow. The system chunks a 10-page PDF locally into 2-page text matrices, streaming them through the Featherless.ai gateway using an optimized open-source Mistral-7B-Instruct model layer. The platform enforces a Zero-Data-Retention posture in volatile RAM buffers, ensuring full compliance with GDPR and the EU AI Act.
19 May 2026

AMD-CineMatch addresses the "decision fatigue" of modern streaming by implementing a sophisticated, decoupled AI architecture. Developed during the AMD Developer Hackathon, the project utilizes a high-performance backend powered by the AMD AI Stack (ROCm 6.0) to handle complex metadata analysis and sentiment mapping.The system architecture is split into two primary layers: a responsive frontend hosted on Hugging Face Spaces using the Streamlit SDK, and a robust inference logic layer designed for the AMD Instinct™ MI300X. By utilizing the Pareto Principle, we focused on the core 20% of features—mood-to-metadata mapping—that provide 80% of the user value. The project successfully demonstrates the portability of open-source models like Gemma, proving that developers can achieve enterprise-grade performance and data sovereignty using the AMD Developer Cloud. This end-to-end workflow, from local prototyping in VS Code to public deployment, serves as a blueprint for scalable, cost-effective AI agents.
10 May 2026