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rully-saputra15/README.md

πŸ‘‹ Hi, I'm Rully Saputra

Software Engineer | AI Context Engineer | Verified Workflow Creator at n8n | Top 10 Mentor at Adplist.org

πŸ“ Indonesia (Remote Ready)
πŸ’Ό LinkedIn: https://www.linkedin.com/in/rully-saputra
✍️ Medium: https://medium.com/@rully.saputra4


πŸ‘¨β€πŸ’» Professional Summary

Software Engineer focused on building scalable, production-grade web applications and AI-powered automation systems.

  • ⚑ Performance, clean architecture, and DX driven
  • 🧠 Expert in Next.js, TypeScript, Node.js, MongoDB/PostgreSQL
  • πŸ€– Creator of AI + n8n workflow automations used for real-world productivity
  • πŸ§‘β€πŸ« JavaScript instructor mentoring developers in production best practices
  • πŸ› οΈ Builder of reusable tooling that accelerates team delivery

🧾 Key Impact

  • πŸš€ Built SSR Next.js apps with strong SEO and performance optimization
  • ⚑ Developed team-ready starter architectures with linting, git hooks, and scalable structure β†’ faster onboarding
  • πŸ€– Delivered 12+ AI automation workflows (bug triage, SEO monitoring, research summarization, job matching)
  • 🧩 Created reusable React utilities improving maintainability and readability
  • πŸ§‘β€πŸ« Mentored engineers on architecture, performance, and clean code

πŸ—οΈ Core Technical Skills

Frontend Next.js β€’ React β€’ TypeScript β€’ Tailwind β€’ Vite β€’ SSR/CSR optimization

Backend Python β€’ Node.js β€’ Express β€’ REST API β€’ MongoDB β€’ PostgreSQL

Architecture & DX Modular architecture β€’ Monorepo (Turborepo) β€’ ESLint (Airbnb) β€’ Husky β€’ Bun runtime

Automation & AI n8n β€’ RAG pipelines β€’ MCP servers β€’ AI workflow orchestration


πŸ“Œ Featured Projects

🧠 Interviewin β€” AI Interview Preparation Platform

AI-powered system for generating interview questions, evaluating answers, and providing feedback. Focus: prompt design, structured evaluation pipelines, and scalable API integration.

πŸ’¬ Convo β€” AI Conversation & RAG Playground

Experimental platform for building conversational AI with RAG, context management, and modular prompts. Focus: retrieval pipelines, memory handling, and developer-friendly architecture.

🌐 Next.js SSR Portfolio

Production-grade personal portfolio with performance optimization, modern routing, and SEO best practices.

🧩 React Render Helper

Type-safe utility for clean conditional rendering patterns in React codebases.

πŸ—οΈ Production-Ready Next.js Architecture Starter

Enterprise-style foundation including:

  • Type-safe modular structure
  • Pre-commit quality gates (ESLint + Husky)
  • Scalable folder conventions ➑️ Designed to reduce setup time and enforce code quality across teams

πŸ€– AI Automation Workflows (n8n)

Automations for:

  • GitHub issue triage with AI
  • SEO & web vitals monitoring
  • Research summarization pipelines
  • Data-driven job matching

πŸ“Š GitHub Stats

GitHub Stats
GitHub Stats


πŸ§‘β€πŸ« Leadership & Mentoring

  • JavaScript & React mentor
  • Teach production patterns, not tutorials
  • Help engineers ship scalable, maintainable systems

🎯 What I’m Looking For

  • Frontend / Fullstack Engineer roles
  • Remote or distributed teams
  • Products involving Web Development & AI
  • Opportunities to contribute to architecture, performance, and DX

πŸ“« Contact


⭐ Strengths: Performance β€’ Clean Architecture β€’ AI Workflows β€’ Developer Experience β€’ Mentoring


Pinned Loading

  1. react-render-helper react-render-helper Public

    minimalist React component designed to bring elegance and simplicity to conditional rendering

    TypeScript 10

  2. next-portfolio next-portfolio Public

    My portfolio that fully developed by Next Js (SSR).

    TypeScript 1

  3. next-14-starter-with-bun next-14-starter-with-bun Public

    Project starter to create Next 14 app with Bun

    TypeScript

  4. interviewin-next interviewin-next Public

    TypeScript

  5. next-virtual-companion next-virtual-companion Public

    TypeScript

  6. ts-mcp-starter-kit ts-mcp-starter-kit Public

    A fully functional starter template for building Model Context Protocol (MCP) servers with TypeScript, supporting both HTTP/SSE and stdio transports for seamless integration with AI applications.

    TypeScript 3