You will get Custom RESTful API Development

Project details
What sets me and my project apart includes:
• Proven expertise in building APIs and systems used by real-world applications.
• Focus on performance, security, and scalability from day one.
• Experience working with real-time systems and microservices.
• Proven expertise in building APIs and systems used by real-world applications.
• Focus on performance, security, and scalability from day one.
• Experience working with real-time systems and microservices.
Programming Languages
JavaScript, TypeScriptCoding Expertise
Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$200
|
Standard
$500
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 12 days |
Number of Revisions | 0 | 0 | 0 |
Design Customization | - | - | - |
Content Upload | - | - | |
Responsive Design | - | - | - |
Source Code |
Frequently asked questions
About Edet
AI Backend Engineer | Node.js, NestJS, LLM Automation, RAG Systems
Lagos, Nigeria - 5:22 pm local time
You're looking for someone who can build systems that stay reliable under real usage, integrate cleanly with the rest of your stack, and don't become operational liabilities six months later.
I build scalable backend infrastructure and AI-powered workflows for SaaS platforms, internal tools, and automation-heavy products.
Over the past 4+ years, I’ve helped teams:
✔ Reduce API latency by 50% using async processing, queues, and caching
✔ Cut production 5xx errors by 80% through service hardening and deployment improvements
✔ Maintain 99.9% uptime on live systems serving 2,000+ concurrent users
✔ Build RAG systems achieving 90% retrieval faithfulness
✔ Reduce manual operational workflows by 60% through internal AI systems
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What I Build
► AI Systems & Internal Tools
LLM-integrated Slack bots, document processing pipelines, RAG systems, and AI agents that replace manual operations. Built with OpenAI, Gemini, or Claude — your choice.
► Scalable Backend Infrastructure
Production-grade APIs and distributed backend systems using Node.js, NestJS, TypeScript, Python, PostgreSQL, Redis, and BullMQ. Designed for scale, documented for handoff, and tested before delivery.
► Workflow Automation (n8n / Custom)
End-to-end automation pipelines connecting your tools Google Drive, Slack, Notion, CRMs, custom webhooks. I don't just drag and drop; I architect for reliability and error recovery.
► Cloud & Reliability Engineering
Docker, AWS, CI/CD pipelines, monitoring, logging, and infrastructure setups that keep deployments predictable and operational overhead low.
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Selected Work
ShipGuard — AI Engineering Intelligence Platform
Built LLM-powered PR risk analysis workflows and a RAG-based incident knowledge system that reduced manual issue investigation by 60%.
CryptoFlo — High-Traffic Web3 Platform
Engineered backend systems supporting 2,000+ concurrent users during launch while reducing production 5xx errors by 80%.
NFL Analytics RAG Explorer
Architected an agentic RAG system using LangGraph, Qdrant, and DeepEval with 90% retrieval faithfulness evaluation scores.
Nutrify — AI Food Intelligence Platform
Built an AI-powered food analysis system integrating OCR, DistilBERT classification, and LLM-powered nutrition insights across mobile and web platforms. Architected scalable inference pipelines with FastAPI, Redis, PostgreSQL, and ONNX Runtime for predictable low-latency performance.
Dev Wrapped
Built a cache-first analytics backend serving hundreds of users under burst traffic with predictable latency and zero downtime.
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Core Stack
Node.js • TypeScript • NestJS • Python • FastAPI • PostgreSQL • Redis • BullMQ • OpenAI • Claude • Gemini • LangGraph • Qdrant • Docker • AWS • CI/CD • Pinecone • Qdrant • n8n • Reactjs • Nextjs
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I work best with founders, CTOs, product managers, and business owners who need a reliable engineer capable of thinking beyond implementation and building systems that hold up in production.
Send a message with your project details and I’ll tell you clearly:
* what the technical risks are
* how I’d approach the architecture
* and whether I’m actually the right fit for the job
Steps for completing your project
After purchasing the project, send requirements so Edet can start the project.
Delivery time starts when Edet receives requirements from you.
Edet works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
I’ll gather the details of your project and understand your specific needs.
API Design & Architecture
I’ll design the API architecture, ensuring scalability, security, and flexibility.