In this design, we reimagined how teams create automated workflows by transforming natural language prompts into visual process flows. The interface combines AI-assisted workflow generation, conditional logic, third-party integrations, and real-time editing into a clean, distraction-free dashboard. With a lightweight visual hierarchy, intuitive node structure, and collaborative workspace, building complex automation feels faster, clearer, and far more accessible.

📩 Collaborate with Us? Contra Cansaas Agency

𝐄𝐧𝐭𝐞𝐫𝐚 - 𝐑𝐞𝐬𝐢𝐝𝐞𝐧𝐭𝐢𝐚𝐥 𝐑𝐞𝐚𝐥 𝐄𝐬𝐭𝐚𝐭𝐞 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 (𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐩𝐫𝐨𝐩𝐞𝐫𝐭𝐲 𝐚𝐜𝐪𝐮𝐢𝐬𝐢𝐭𝐢𝐨𝐧 𝐚𝐭 𝐬𝐜𝐚𝐥𝐞) ◾ Frontend: React, Next.js, TypeScript, Tailwind CSS, Recharts, Mapbox GL JS ◾ Backend: Python, FastAPI, Node.js, PostgreSQL, Redis, Celery, REST & GraphQL APIs, OpenAI API, custom ML pipelines ◾ Infra: AWS (EC2, RDS, S3, Lambda), Docker, Kubernetes, GitHub Actions CI/CD, Elasticsearch Entera is a platform built for institutional investors to discover, underwrite, and acquire single-family homes at scale - think hundreds of offers a day across multiple markets. I worked on the AI-driven deal analysis engine that pulls in MLS data, rental comps, and neighborhood signals to surface investment-grade properties ranked by projected yield and risk.

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