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arifuzzaman-tanin/README.md

Hi there 👋, I am Arifuzzaman Tanin! 😁


I’m a Full-Stack Software Engineer with 9+ years of experience building scalable applications using C#, .NET, Python, and modern JavaScript frameworks. Recently my work has shifted toward AI-powered software, integrating models like OpenAI, Azure OpenAI, and Gemini into real production systems.

Most of what I build sits where APIs, automation, and AI workflows meet - including RAG pipelines, prompt engineering, AI agents, and context-aware services. Alongside that, I continue building production web platforms using React, Blazor, and Azure, typically deployed with Docker and CI/CD pipelines.

I’ve worked across industries including real estate, fintech, health, e-commerce, and education, building systems used by real customers and teams. My current focus is applying AI in practical ways that genuinely improve products and workflows.


⚡ Core Skills & Technologies

C# Python JavaScript Frontend API Cloud DevOps Architecture Database AI Engineering


Stats

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  1. best-practice-to-avoid-nested-loop best-practice-to-avoid-nested-loop Public

    Mastering Best Practices to Eliminate Nested Loops: Boosting Code Efficiency and Clarity

    TypeScript 1 3

  2. details-about-big-o-notation details-about-big-o-notation Public

    Understanding Big O Notation: A Comprehensive Guide to Time Complexity Analysis

    2

  3. data-structures data-structures Public

    JavaScript

  4. logistic-regression-from-scratch logistic-regression-from-scratch Public

    A hands-on exploration of logistic regression, covering classification fundamentals, implementation, model evaluation, and data visualization.

    Jupyter Notebook

  5. heart-disease-decision-tree-classifier heart-disease-decision-tree-classifier Public

    A simple machine learning project that uses a Decision Tree Classifier to predict heart disease from patient health data, created for learning and practice.

    Jupyter Notebook

  6. linear-regression-from-scratch linear-regression-from-scratch Public

    A hands-on exploration of linear regression, covering core concepts, implementation, model evaluation, and data visualization.

    Jupyter Notebook