Muhammad Ahmad Faizan
Experience

Career Journey

From software engineering education to building production AI systems for clients worldwide.

Experience

AI & Backend Engineer

Freelance (Local & International Clients)

Sep 2024 — Present

Designing and developing AI-powered applications, backend systems, intelligent automation solutions, and scalable APIs for clients across multiple industries.

  • Engineered AI-powered Shopify marketing automation workflows using Zapier and Klaviyo, including customer segmentation, welcome emails, abandoned cart recovery, product recommendations, and follow-up campaigns.
  • Developed backend APIs and PostgreSQL database architecture for an international Django-based e-commerce platform while collaborating with a distributed development team.
  • Built financial modeling and forecasting solutions for business reporting, revenue analysis, expense tracking, and profit/loss forecasting for North Steel.
PythonFastAPIDjangoPostgreSQLLangGraphLangChainQdrantspaCyOpenAIGeminiGroqn8nZapierKlaviyoJWTREST APIs

Python Developer Intern

SoftBeck Limited

Jun 2025 — Aug 2025

Contributed to backend development, automation solutions, and AI-powered features while collaborating with the engineering team on client-focused software projects.

  • Developed and enhanced Python-based backend solutions and automation workflows.
  • Integrated LLaMA 3 and Gemini APIs for AI-powered market research functionality.
  • Worked with REST APIs, backend service integrations, and data processing workflows.
  • Reviewed, tested, and optimized Python code to improve reliability and maintainability.
  • Collaborated with developers to implement scalable backend features and business automation solutions.
PythonFastAPIREST APIsGeminiLLaMA 3Git

Education

Bachelor of Science in Software Engineering

National Textile University, Faisalabad

2022 — 2026

Pursuing a Bachelor's degree in Software Engineering with a strong foundation in software design, backend development, databases, cloud technologies, artificial intelligence, machine learning, and modern software engineering practices. The program emphasizes the complete software development lifecycle—from requirements analysis and system design to development, testing, deployment, and maintenance.