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haris0/README.md

Hallo, I'm Haris!

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Senior Software Engineer building fast, scalable products end-to-end. Shipping with TypeScript, React/Next.js, and Node.js, with a growing focus on LLM-powered apps (RAG, LangChain, AWS Bedrock). Into observability, clean architecture, and turning messy real-world problems into production-ready systems.

⚡️ A little more about me

const haris0 = {
    pronouns: "He" | "Him",
    nickname: "Haris",
    role: "Senior Software Engineer",
    focus: ["Frontend", "Backend", "LLM / AI Systems"],
    programmingLanguage: ["Typescript", "Javascript", "Python"],
    technologies: {
        frontend: {
            js: ["react", "next", "vue", "nuxt"],
            css: ["scss", "styled-components", "bootstrap"],
            architecture: ["micro-frontend"]
        },
        backend: {
            js: ["nestJs", "hapi"],
            db: ["mongo", "postgres", "sqlite"]
        },
        llm: {
            framework: ["LangChain"],
            techniques: ["RAG", "vector DB (pgvector)"],
            workflow: ["n8n"]
        },
    },
    mindset: [
        "Ship fast, iterate faster",
        "Pragmatic over perfect",
        "Measure everything"
    ],
    quotes: "Make It Work, Make It Right, Make It Fast (Kent Beck)"
};

🚀 Some Languages and Tools I Use

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  1. movieme-ts movieme-ts Public

    Movie database list, developed using NextJs

    TypeScript

  2. book-api-nestjs book-api-nestjs Public

    Simple book service, developed using NestJs.

    TypeScript 1

  3. pokehunt-ts pokehunt-ts Public

    Pokemon list, developed using React Typescript

    TypeScript

  4. janken-app janken-app Public

    This is a simple Janken game using image classification model, implemented using application using Flask and Bootstrap4.

    HTML

  5. military-object military-object Public

    This is a simple object detection application, which can be used to detect military objects

    JavaScript 14 4

  6. SentimentStreamlit SentimentStreamlit Public

    This application was developed using streamlit, to scrap tweets using twint and do analytic sentiments with textblob

    Python 14 4