Switch to English?
Yes
Переключитись на українську?
Так
Переключиться на русскую?
Да
Przełączyć się na polską?
Tak

Muhammad Ahmad

Offer Muhammad work on your next project.

United States Arizona City, United States
13 hours 24 minutes back
Available for hire available for hire
on the service 7 months 14 days

Rating

Successful projects
No data
Average rating
No data
Rating
224
AI Content Creation
198 place out of 1542
AI & Machine Learning
528 place out of 2836

CV

Muhammad Ahmad

Software Engineer | AI Automation | Full-Stack & Content Systems


Profile

Software Engineer with hands-on experience building AI-powered tools, automation workflows, and content systems. I work across both development and execution — from building backend systems to managing automated content pipelines and distribution.

I’m particularly interested in combining AI, automation, and content workflows to build practical, scalable solutions.


Skills

Programming & Development
Python, JavaScript, C/C++, Java
React, Next.js, Node.js, Express, FastAPI

AI & Automation
LLM Applications (OpenAI, Gemini)
LangChain, LangGraph, RAG Systems
n8n Automation, AI Agents
Stable Diffusion, FFmpeg

Content & Marketing Systems
SEO Content Automation
Multi-platform Content Publishing
Lead Generation Workflows
Email Outreach Automation

Databases & Tools
MongoDB, PostgreSQL, Firebase
Docker, Git, Bash


Experience

Software Engineer / Python Developer

EJ Developer — 2025

  • Built and delivered AI-based automation workflows using n8n for real-world use cases
  • Developed systems for content generation, posting, and distribution across multiple platforms
  • Created automation pipelines for lead generation, web scraping, and outreach
  • Worked on backend systems and API integrations for scalable automation tools

Projects

AI Content & Article Automation System

  • Generated and published SEO articles to 10+ platforms using AI + automation
  • Combined API integrations with browser automation tools

AI Video Generation Pipeline

  • End-to-end automated system (script → visuals → video → upload)
  • Built using Stable Diffusion, FFmpeg, Docker, and n8n
  • Included a dashboard for managing and tracking jobs

AI Email & Outreach Automation

  • Built workflows that generate and send personalized emails using AI
  • Used for outreach and lead generation campaigns

Chatbots & AI Applications

  • Developed LLM-based tools using LangChain, LangGraph, and RAG pipelines

Education

Bachelor of Software Engineering
COMSATS University
CGPA: 3.35 / 4.0


Certification

Oracle Certified Generative AI Professional — 2025

Skills and abilities

Portfolio


  • 1000 USD

    Система автоматического написания статей и мультиплатформенной п

    Content Management Systems
    Я разработал полностью автоматизированный контентный конвейер полного цикла. Система берет тему из Google Таблиц, генерирует полноценную SEO-оптимизированную статью с помощью OpenAI GPT, автоматически форматирует её и публикует на нескольких веб-сайтах и платформах — и всё это без единого ручного шага.

    Как это работает:

    Название темы, описание и целевой сайт вводятся в Google Таблицы.

    Рабочий процесс (workflow) в n8n запускается автоматически и отправляет данные в OpenAI GPT для генерации статьи.

    Статья автоматически форматируется и структурируется.

    n8n публикует контент на целевой сайт через API или браузерную автоматизацию.

    Google Таблица обновляется: добавляется ссылка на опубликованную статью, дата и статус.

    Что это заменило:
    До внедрения этой системы написание, форматирование и ручная публикация одной статьи занимали 30–40 минут ручного труда, а максимальный объем составлял всего 1–2 статьи в день.

    Результаты автоматизации:

    Публикация 20–50 статей в день.

    Весь процесс занимает менее 10 минут.

    Нулевые ручные усилия после первоначальной настройки.

    Сокращение времени на публикацию контента до 95%.

    Масштабирование на 12+ сайтов одновременно.

    Значительное снижение стоимости производства контента за счет исключения часов ручного написания и постинга.

    Стек технологий:
    n8n · OpenAI GPT · Google Sheets · REST APIs · Airtop Browser Automation · Webhook Triggers
  • 600 USD

    AI video translation and content managment

    Audio & Video Editing
    Built a ai autoamtion engine , and content management services for the translation of videos in multiple languages.
    It supports the translation , transscription , video editing and video generation for personalized bussiness.
  • 800 USD

    AI audio synchronizer

    AI Speech & Audio Generation
    What I Built:

    Full-stack web application (Next.js) with secure login, video creation form, and job dashboard
    Integrated Stable Diffusion for AI image generation matching transcript content
    Implemented Ken Burns motion effects (zoom, pan) to bring static images to life
    FFmpeg pipeline for video encoding and subtitle burning
    n8n workflow automation orchestrating the entire pipeline
    Docker-based deployment with 5 microservices
    Job queue system with retry/delete functionality
    20 customizable video styles (Cinematic, Documentary, Spiritual, Minimalist, etc.)
    Technologies: Next.js, Python, Node.js, Docker, n8n, Stable Diffusion, FFmpeg, SQLite, Nginx
  • 1000 USD

    AI Video Generation System with Docker, n8n & Stable Diffusion

    Content Management Systems
    Built a complete end-to-end AI video generation platform for a client. The system automatically converts audio content into polished vertical videos with AI-generated visuals, motion effects, and burned-in subtitles.
  • 2000 USD

    AI Video Generation System with Docker, n8n & Stable Diffusion

    AI & Machine Learning
    Built a complete end-to-end AI video generation platform for a client. The system automatically converts audio content into polished vertical videos with AI-generated visuals, motion effects, and burned-in subtitles.
    What I Built:

    Full-stack web application (Next.js) with secure login, video creation form, and job dashboard
    Integrated Stable Diffusion for AI image generation matching transcript content
    Implemented Ken Burns motion effects (zoom, pan) to bring static images to life
    FFmpeg pipeline for video encoding and subtitle burning
    n8n workflow automation orchestrating the entire pipeline
    Docker-based deployment with 5 microservices
    Job queue system with retry/delete functionality
    20 customizable video styles (Cinematic, Documentary, Spiritual, Minimalist, etc.)
    Technologies: Next.js, Python, Node.js, Docker, n8n, Stable Diffusion, FFmpeg, SQLite, Nginx
  • 2000 USD

    Gamified Habbit Tracker AI

    Website Development
    Description:
    Gamified Habit Tracker.ai is a productivity web application designed to help users build and maintain positive habits through gamification and AI-driven insights. The system transforms daily routine tracking into an engaging experience — users earn points, maintain streaks, and unlock achievement levels as they stay consistent with their goals.

    Key Features:

    Habit Gamification: XP, streak counters, and progress levels to keep users motivated.

    AI Insights: Smart habit suggestions and progress analysis based on user patterns.

    Interactive Dashboard: Visual progress tracking using charts and daily summaries.

    User Authentication: Secure login and personalized habit data using JWT and MongoDB.

    Tech Stack: MERN (MongoDB, Express, React, Node.js) with integrated AI components and REST APIs.

    Documentation: Includes full SRS and SDD outlining requirements, design, and system flow.

    Purpose:
    To combine psychological motivation principles with modern AI assistance, making habit-building consistent, fun, and measurable.
  • 1000 USD

    AI based video anaylyzer

    AI & Machine Learning
    AI based Video analyzer is an intelligent ai agent base platofrom where users or content creators who are worry about that why their content doesnt go viral and hit the hooks , those content creators can anaylze their videos for checking that has the video posses some factors like
    better hooks
    according to trends,
    the music and lyrics or voice factor
    emotions in video
    starting points of video .
    so based on these the ai decides what to fulfill and how to fulfil the gap that is pushing your videos back from going viral .

Activity

  Latest proposals 1
Project for Muhammad Ahmad Personal project
2000 USD