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Title: Data Lake Accelerator — Enterprise AI Platform Description: 11-module enterprise data platform serving Fortune 500 clients. Owned complete React + Vite frontend and all FastAPI backend services. Ingests petabyte-scale ERP data (SAP, Oracle, D365) into Databricks, Snowflake, and Microsoft Fabric via medallion architecture. Link: https://www.youtube.com/watch?v=jJzBFaUjedQ&t=4s
The network for creativity
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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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Some recent screenshots from an enterprise website we've made for Peak3. Built with @framer
Layout is really clean, love how the data viz is woven into the marketing pages
Most businesses don’t need more software.
They need smarter systems. ⚡
The biggest opportunities today are where AI + automation + full-stack engineering come together.
That means building systems that can:
🤖 Think with AI
🔄 Automate repetitive workflows
🔌 Connect APIs & business tools
☁️ Scale reliably in the cloud
📈 Deliver measurable business outcomes
Too many teams are still stitching together disconnected tools and calling it innovation.
Real leverage comes from building intelligent, production-ready systems that actually solve problems.
That’s what I help founders and businesses build — from AI agents and RAG systems to scalable SaaS products and automation workflows. 🚀
What’s one workflow in your business you’d automate first? 👇
#AI #Automation #AIEngineering #FullStackDevelopment #GenerativeAI #LangChain #PythonDeveloper #SaaSDevelopment #CloudComputing #AWS #APIIntegration #BusinessAutomation #AIProducts #Contra #TechInnovation
Smart systems > more software 🚀
Just shipped Smart Season a full-stack field monitoring system. 🚀
Built this from scratch as a complete agricultural operations platform. Here's what it does and how it works under the hood.
The problem it solves:
Farm operations with multiple field agents have no structured way to track crop progression, catch struggling fields early, or hold agents accountable for updates. Smart Season fixes that.
What I built:
The system gives admins full control to create fields, assign them to agents, and get a real-time view of every field across the entire operation. Agents get a focused interface showing only their assigned fields, where they can update the crop stage and log observations.
The most interesting piece is the computed status engine. Instead of storing a "status" value in the database (which goes stale the moment conditions change), status is derived on every read based on two inputs: the current stage and days since planting. A field still in the Planted stage after 30 days automatically surfaces as At Risk: no cron jobs, no manual updates, no stale data.
Every stage change is captured in an audit log; admins see the full history across all fields, and agents see only their own. This turns the system from a simple tracker into something with real operational accountability.
Tech stack:
Node.js + Express + TypeScript
Prisma ORM + PostgreSQL on Neon
JWT authentication with role-based access control
React 18 + Vite + Tailwind CSS
Deployed on Railway (backend) + Vercel (frontend)
What I learned:
Separating computed values from stored values is one of those decisions that feels like extra work upfront but saves enormous complexity later. Keeping the service layer as the single source of truth for business logic and never letting controllers or repositories make decisions made the codebase genuinely easy to reason about as it grew.
The audit log wasn't in the original requirements. I added it because a monitoring system without history isn't really monitoring; it's just a snapshot. Sometimes the most valuable features are the ones you identify beyond the spec.
GitHub: https://github.com/jeffRnR/smartseason
#fullstack #nodejs #react #typescript #prisma #postgresql
nice work
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