Creative Technologist with a full-stack mindset and product-thinking approach. I design LLM-powered, agent-based and data-aware systems that solve real problems with AI—without overengineering or hype.
I don’t have a conventional background. I started out operating CNC machines in carpentry shops and factories. In every job, I was the one who fixed what was broken, proposed process improvements, and ended up leading—even when my role said “apprentice” or “assistant”. That mindset still drives how I build AI systems today: if there’s a goal, I’ll figure out how to get there—and make it work.
For the past two years, as a Creative Technologist in Lilab’s innovation team, I’ve led the design and development of AI-powered MVPs. I don’t wait for tickets or roadmaps—I’m given an objective and I architect the solution end-to-end. Highlights include:
✅ Cut a 2-day legal analysis process down to 2 minutes with a custom RAG + agent pipeline that generates compliance reports from company bylaws—our first AI product successfully sold to a major financial client.
☎️ Built a voice AI assistant that handles phone calls and bookings for a restaurant via Twilio, backed by a multi-agent architecture with real-time intent parsing and external API integrations.
🌱 Designed a document analysis system to process thousands of pages of Environmental Impact Assessments (EIAs), combining Gemini, YOLO and RAG to serve professionals from law, engineering and consulting with grounded summaries and contextual Q&A.
📊 Automated call center satisfaction scoring with five independent evaluation modules, each achieving >90% accuracy compared to human analysts. Built with GCP workflows, Dataflow, Pub/Sub, Vertex AI and custom Beam pipelines. I also participated directly in all client-facing meetings, from discovery to delivery.
My core stack includes Python, Nodejs, React, Flask, LangChain, Gemini, OpenAI, YOLO, and I deploy solutions across GCP and AWS. I’ve architected serverless APIs, multi-agent pipelines, and portable environments with Docker Compose for clients needing self-contained, cloud-friendly infrastructure.
Beyond tools and tech, what defines me is my approach: building fast, building smart, and making sure what I create delivers real value—no noise, just results.
| 🛂 Nationality | 🇦🇷 Argentina |
| 🏡 Residency | 🇦🇷 Argentina |
| 📍 Location | 🇦🇷 Argentina |
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rok.co/@orbesle |
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| Skilled in | js node expressjs react typescript c sharp dot net python flask fastapi docker gcp |
| Fluent in | spanishenglish |
| Preferred timezone | -3, -4, -5, -2, -1, 0 |
| Preferred annual pay (min) | $27,000/year |
| Preferred hourly pay (min) | $13/hour |
| Last seen | 23 days ago |
| Signed up | 6 months ago |
| Badges |
👨💻 Remote worker |