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amirreza91-13/README.md
Frostbyte crystalline monogram Amirreza Mirhaj — Frostbyte icy electric banner with snowfall

Amirreza Mirhaj

Software Development · Workflow Automation · Applied AI

I build practical software, connect systems, and explore applied AI through implementation, testing, and continuous learning.

GitHub    LinkedIn    X    Email    Telegram bot

EXPLORE REPOSITORIES   ◇   VIEW CONTRIBUTIONS   ◇   OPEN SOURCE PROJECTS


❄️ The Frostbyte interface

Frostbyte crystal glass panels and animated snowfall

A visual identity built around frosted glass, crystalline edges, cold light, and restrained electric-blue accents. The artwork is stored in this repository so the profile does not depend on third-party image hosts.

◈ Engineering focus

Focus What I work on
Software development Browser-based utilities, web applications, and programming fundamentals
Workflow automation APIs, service integrations, webhooks, and repeatable workflows
Applied AI Model APIs, local model experiments, and AI-assisted developer workflows
Engineering practice Testing, debugging, documentation, maintainability, and security awareness

I keep implemented functionality separate from planned work. Project-specific limitations and development status belong in each repository's documentation.

⚡ Featured projects

DevFlow Kit — browser-based developer utilities

A privacy-first workspace with 13 browser-based utilities for everyday developer tasks. Built without an application backend or account system.

JavaScript · HTML · CSS · Web APIs · Web Workers
CI workflows · Source code
Mirhaj Real Estate — property workflow web application

A full-stack real-estate application project covering property workflows, server routes, authentication, database access, uploads, and real-time events.

Node.js · Express · JavaScript · sql.js · Socket.IO
Source code & security notes
Planner — local-first bilingual personal planning app

A Persian/English planning application for tasks, habits, calendar, notes, focus sessions, and reports. Frontend/backend integration is still in progress.

React · TypeScript · Vite · Python · Django · SQLite
Source code & development status
Local Coding Assistant — local LLM experiment

An experimental Python assistant with terminal and Streamlit interfaces, connecting to locally hosted models through Ollama.

Python · Streamlit · Ollama · Local LLMs
Source code & limitations

🧊 Project matrix

Project Domain Current stage
DevFlow Kit Developer utilities Public project · automated validation
Mirhaj Real Estate Full-stack web application Active development
Planner Personal productivity In development
Local Coding Assistant Local AI experimentation Experimental

💠 Technology constellation

The local vector panels below are a snapshot of technologies used, explored, or currently being learned — not a proficiency ranking.

Python, JavaScript, TypeScript, React, Node.js, Vite, Git, n8n, Django, SQLite, Streamlit, and VS Code technology icons

n8n, Ollama, OpenRouter, LM Studio, Claude Code, OpenAI Codex, and OpenCode tools

Explore the wider toolbox

Languages & web: Python · JavaScript · TypeScript · HTML · CSS

Frameworks & data: React · Vite · Node.js · Express · Django · SQLite · sql.js

Automation & AI: n8n · Ollama · OpenRouter · LM Studio · Claude Code · OpenAI Codex · OpenCode

Developer workflow: Git · GitHub · VS Code · PowerShell · API testing · documentation

⟡ How I approach building

01
Understand
02
Design
03
Build & test
04
Document
  • Prefer useful features over decorative complexity.
  • Keep dependencies and external services intentional.
  • Test important paths and document known limitations.
  • Improve through small, verifiable iterations.

❄️ Current learning direction

Software Engineering Foundations
             │
             ▼
       Workflow Automation
             │
             ▼
       Practical AI Systems
             │
             ▼
    Agents · ML · AI Engineering

Current priorities: strengthen Python and software engineering fundamentals, improve testing and debugging, build reliable integrations, and turn AI experiments into useful applications.

What I am improving right now
  • Writing clearer, more maintainable code.
  • Understanding backend architecture, APIs, and data handling.
  • Building repeatable tests and debugging workflows.
  • Evaluating AI tools based on practical usefulness rather than hype.

CONNECT / COLLABORATE

EMAIL   ·   TELEGRAM BOT   ·   LINKEDIN   ·   X   ·   GITHUB



BUILD WITH INTENT · TEST WITH CARE · IMPROVE CONTINUOUSLY

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  1. amirreza91-13 amirreza91-13 Public

    My GitHub profile and developer portfolio.

    JavaScript 22