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Shalin-Shah-2002/README.md

πŸš€ Shalin Shah

Backend Architect | AI Systems Builder | Flutter Developer


πŸ‘¨β€πŸ’» Currently @ Work

πŸ’Ό Flutter Developer

SSB Digital | Present

Working on production-grade cross-platform applications using Flutter + Firebase, contributing to scalable mobile architectures and collaborating with senior developers on real-world systems.

πŸš€ DevFlow Platform

Building DevFlow, a developer productivity platform designed to analyze and optimize engineering workflows with powerful backend infrastructure and analytics.


🎯 About Me

const shalin = {
    role: "Backend-Focused Full Stack Engineer",
    
    currentlyLearning: [
        "MCP Server Architecture",
        "DevOps & Cloud Infrastructure",
        "Advanced System Design",
        "AI Integration in Backend Systems"
    ],

    workingOn: [
        "DevFlow Developer Platform",
        "RAG based AI systems",
        "AI Bots interacting with backend APIs"
    ],

    coreStrengths: {
        backend: ["Node.js", "Express", ".NET", "FastAPI", "TypeScript"],
        databases: ["PostgreSQL", "MongoDB", "Firebase", "SQLite"],
        cloud: ["AWS EC2", "AWS RDS"],
        mobile: ["Flutter", "Dart", "Android Native"],
        ai: ["RAG Systems", "LLM APIs", "MCP Servers"],
        architecture: ["REST APIs", "Microservices", "System Design"]
    },

    philosophy:
        "Great software is built with strong backend architecture. APIs are my love language."
};

πŸ› οΈ Tech Arsenal

⚑ Backend & APIs


πŸ—„οΈ Databases & Cloud


πŸ“± Mobile & Frontend


βš™οΈ DevOps & Tools


πŸš€ Featured Projects

🌊 DevFlow

Developer productivity and workflow analytics platform.

Architecture

Frontend β†’ React Backend β†’ Node.js + TypeScript Database β†’ PostgreSQL Infrastructure β†’ AWS EC2 + AWS RDS DevOps β†’ GitHub Actions CI/CD

Features

⚑ Developer workflow analytics ⚑ API performance insights ⚑ Project monitoring dashboard ⚑ Scalable backend architecture

🧠 AI Systems & MCP Servers

Building backend systems for AI powered platforms.

Focus Areas

πŸ€– Retrieval Augmented Generation (RAG) πŸ”— AI agents interacting with backend APIs 🧠 Knowledge base AI assistants πŸ“‘ Model Context Protocol (MCP) servers

Stack

.NET Node.js PostgreSQL Redis

πŸ‹οΈ FitSync

Fitness tracking ecosystem built with scalable backend architecture.

Features:

πŸ”₯ workout tracking πŸ“Š analytics dashboards 🎯 progress monitoring πŸ’ͺ fitness challenges

Stack:

Flutter Node.js MongoDB Firebase

🌱 PlantSnap

AI-powered plant identification and management system.

Features:

🌿 plant recognition πŸ“ nearby nursery finder ☁ cloud data sync πŸ€– AI assistant for plant care

Stack:

Flutter AI APIs Firebase


πŸ“Š GitHub Analytics


πŸ“ˆ Contribution Graph


🐍 Contribution Snake Animation


🌐 Connect With Me

LinkedIn

Twitter

Medium

GitHub


πŸ’‘ Daily Inspiration


πŸ˜„ Dev Humor Break


🎡 Coding Vibes


πŸ’­ "Code is poetry written in logic"

Made with πŸ–€ by Shalin Shah

Pinned Loading

  1. OtakuHub_App OtakuHub_App Public

    Dart 4 1

  2. ApiProtection_.Net ApiProtection_.Net Public

    C#

  3. Yt-MCP Yt-MCP Public

    JavaScript 9 1

  4. DevFlow DevFlow Public

    TypeScript 1