Milano / Bruxelles
I build practical digital products that connect user needs, business goals, and reliable engineering. I am strongest where product thinking and execution meet: understanding the problem, shaping the experience, building the system, and improving it with real feedback.
Now: focused on my master's degree. Open to selected conversations for future product engineering roles, internships, and product-led technical projects.
| What I bring | How it shows up |
|---|---|
| Product mindset | I frame problems before building features |
| Full-stack execution | I can move from UX flow to API, database, integrations, and deployment |
| Business awareness | I care about activation, retention, conversion, efficiency, and cost |
| AI fluency | I use AI when it improves the product, not as decoration |
| International profile | Based around Milano / Bruxelles, comfortable in cross-functional contexts |
- Discovery to delivery: problem framing, feature scoping, MVPs, iteration loops
- User experience: clean flows, usable interfaces, onboarding, activation, retention
- Business impact: growth experiments, funnel improvements, workflow automation
- Technical execution: full-stack implementation, integrations, data flows, production quality
- AI as a product lever: agents, RAG, automation, and LLM workflows when they solve real user problems
- A team needs someone who can turn an ambiguous idea into a concrete product direction
- A workflow is slow, manual, or fragmented and needs a better digital experience
- A prototype needs to become a usable product with clean UX and reliable engineering
- AI can reduce friction, automate operations, or make an existing product smarter
- Product strategy: translating vague ideas into focused roadmaps and shippable releases
- Full-stack product builds: frontends, APIs, databases, authentication, dashboards
- Workflow automation: CRMs, internal tools, data pipelines, operational systems
- Measurement: analytics, feedback loops, experiments, reliability, cost control
- Applied AI: LangChain, LangGraph, LangSmith, LangFlow, structured outputs, tool-use agents
Product engineering story
I like building products from the inside out: start with the user's real workflow, find the friction, design the simplest useful path, then ship something that can be tested quickly.
My technical background helps me avoid vague product work. I can reason about data models, APIs, automation, AI workflows, and operational constraints while still keeping the user experience clear and lightweight.
AI and automation layer
AI is part of my toolkit when it creates measurable product value. I work with agentic workflows, retrieval systems, structured outputs, tool-use agents, evaluations, and observability, but I connect those pieces to user outcomes instead of treating them as standalone demos.