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AWS FinOps automation solution built using Python and cloud reporting tools to streamline cost management processes. Implemented automated billing reports, anomaly alerts, tagging compliance checks, savings trackers, and executive dashboards for real-time AWS spend visibility and continuous optimization.
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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Dropes ✧ The 100% Autonomous Sales Machine
Redefining e-commerce by shifting from manual operations to a high-performance, AI-driven ecosystem. Built for scale, engineered for precision.
The Concept ◢
Dropes eliminates the "operational tax." While the system executes the entire product lifecycle—from sourcing to fulfillment—the owner focuses exclusively on growth and ROI.
Core Automation Architecture ✧
◈ Smart Inventory | Custom sync.ts & fetch_200.js scripts that detect trends, verify real-time stock, and inject premium assets into the frontend.
◈ Financial Intelligence | A real-time pricing engine that calculates dynamic margins, shielding profitability against manual errors.
◈ Conversion Engineering | Automated social proof (SocialProofPopup.tsx) and high-impact scarcity triggers designed to maximize CR.
◈ One-Click Revenue | Custom UpsellModal.tsx logic that inflates AOV through intelligent, automated product bundling.
◈ GraphQL Logistics | 100% hands-off fulfillment. Order data flows instantly to local suppliers via API for 24h delivery.
The Stack ⬩
Frontend: React / TypeScript / Tailwind CSS
Backend: Node.js / Custom Automation Scripts
Data: GraphQL / REST API Integration
Nice quality work nice choice of tech stack.
Automation isn’t a luxury anymore — it’s a necessity.
If your business depends on manual work, it won’t scale. I design automation systems that:
✔ Connect your tools
✔ Eliminate repetitive work
✔ Improve response time
Built smart. Built clean. Built to scale.
📩 Open to new projects — let’s talk.
AI Stack & Agentic Workflow Optimization: Performance Test
Executed a technical deep-dive into Agentic Workflows, testing the integration of an AI stack to automate complex marketing funnels and content production. This project wasn't just about automation; it was about building a 'digital workforce' that maintains brand quality while increasing output.
The Strategy:
Stack Integration: Tested the synergy between various AI agents to handle research, drafting, and multi-platform content distribution.
Process Architecture: Designed an autonomous workflow where AI agents act as researchers, copywriters, and quality controllers to reduce human 'bottleneck' time.
Iterative Testing: Conducted performance benchmarks to ensure AI-generated outputs met the high-fidelity standards required for premium brands.
The Goal: To develop a scalable, AI-driven framework that allows brands to maintain a 24/7 digital presence with minimal manual oversight and maximum strategic precision.
Results:
- Efficiency Gains: Reduced manual content ideation time by [Insert %].
- Scalability: Proved a framework that can handle 5x the content volume without increasing headcount.
- Accuracy: Refined prompt-chaining techniques to ensure brand voice remained consistent across all automated agents.
Want to stop doing manual busywork and start scaling with AI? Let's build an agentic workflow that puts your brand growth on autopilot. Invite me to a project to explore the future of your stack!
aistrategyagenticworkflowsautomationAI Agent DesignerContent StrategySocial Media ManagementCanvaCapCutGoogle Gemini
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