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Hey everyone! I'm Juan, software engineer from Argentina.
I specialize in two things:
→ AI-powered automations — chatbots, intelligent agents, workflows that use AI to classify, respond, and make decisions on their own. Not just basic rule-based bots, but systems that actually understand context and act accordingly.
→ Custom software development — if you need something built from scratch that fits your exact needs, that's what I do. APIs, backends, data pipelines, integrations — tailored to your business, not a one-size-fits-all template.
I work with Python, JavaScript, n8n, and Claude/GPT APIs, among other tools.
Always open to interesting projects. Let's talk!
My portfolio: https://juanciancio.github.io
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Syntra — AI Productivity Engine
Most productivity apps expect you to organize your life.
Syntra does it for you ⚡
You start with a messy brain dump 🧠
Syntra converts it into structured tasks, a 7-day plan, and real-time insights — instantly.
The interface itself was generated using Paper MCP 🧩
→ turning abstract system logic into a fully designed, interactive UI in real time.
→ bridging idea → structure → interface seamlessly.
Try:
🔗 https://syntra-493723.uc.r.appspot.com/
🔗 https://github.com/omshukla24/Syntra
Built with:
⚙️ Next.js + TypeScript
🧠 Google Gemini 2.5 Flash
💾 localStorage (no backend / no DB)
🎨 CSS Modules (no Tailwind)
🎬 Framer Motion
🧩 Paper MCP
Runs entirely locally 🔐
No setup. No manual planning.
Just chaos → structure → execution 🚀
something production level
If you ask an AI to "Architect the backend for a real-time messaging app," it will hand you an 8-paragraph wall of text. Trying to mentally piece together API Gateways, WebSockets, and Databases from a vertical chat log requires massive mental gymnastics 🧠
So I connected it to Paper and made it visually draw out its thoughts instead.
The coolest part? I added visual effects to show how hard it's thinking:
🟦 Calm blue = "I got this" (confident)
🟥 Boiling red = "This is tricky"
The Impact:
You don't have to read 1,000 words to understand a complex architecture. You can look at the canvas and instantly feel which parts of the system are easy, and which parts are under immense structural pressure.
I am not just making AI visual. With Paper, I am completely removing the cognitive load of complex system design.
Why read the architecture when you can watch it think? ⚡
paperchallengeAI Agent EngineerCreative StrategistProduct StrategyGoogle AntigravityGoogle GeminiPaper
this is so cool!
I developed a fully automated Customer Support Chatbot using n8n and Google Gemini. This AI agent is designed to handle user inquiries by retrieving data directly from Google Sheets and logging new information in real-time.
Key features include conversation memory for context-aware responses and seamless integration with spreadsheets for data management. This project demonstrates my ability to build functional AI workflows that reduce manual support tasks and improve operational efficiency.
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