MUHAMMAD SAAD ZAFAR

MUHAMMAD SAAD ZAFAR

Islamabad, Pakistan

MUHAMMAD SAAD ZAFAR

AI Automation & Python Developer
I help businesses automate their workflows, save hours of manual work, and build smart AI solutions using Python and modern tech stacks.

Here is exactly what I can do for you:
• Build custom AI chatbots for customer support and lead generation.
• Automate repetitive tasks (Excel, Zapier, APIs, and custom Python scripts).
• Develop robust backend systems and APIs (FastAPI, Node.js).
• Create AI-powered tools (data summarization, bias analysis, and market research).

I bring real-world technical expertise to the table, from enterprise-level development during my time at NetSol Technologies to building 'NewsPulse'—a highly scalable, AI-powered analytical platform using FastAPI, Docker, and Ollama.

Why work with me?
✔ Fast and on-time delivery
✔ Clean, scalable, and well-documented code
✔ Clear and proactive communication

Let’s discuss your project — I reply quickly and am ready to start!

Working hours

  • Monday:16h00 To 23h45
  • Tuesday:16h00 To 23h45
  • Wednesday:16h00 To 23h45
  • Thursday:16h00 To 23h45
  • Friday:16h00 To 23h45
  • Saturday:14h00 To 23h45
  • Sunday:14h00 To 23h45
Worked in the Netsol Financial Suite Department. Built a Financial Data Management System using ASP.NET Core and Angular, which improved data retrieval efficiency by 35% through optimized pagination and filtration. Integrated data visualization and reduced API response time by 25% using SQL query optimization. Gained valuable experience in RESTful APIs, Entity Framework Core, Angular CLI, and Agile teamwork.
Currently enrolled with a CGPA of 3.33. Key academic projects include leading the AI/ML component of "News Pulse," a microservices-based platform for news aggregation, fake news detection, and bias analysis. Coursework covers Artificial Intelligence, Data Science, Full Stack Web Development, and Information Security.
  • Java Programming (J2SE) 27/05/2024
    Successfully completed the course on Java Programming (J2SE) from Alabtaal with an 82% score.
  • Advanced Learning Algorithms 01/10/2023
    Completed an online non-credit course authorized by DeepLearning.AI and Stanford University and offered through Coursera.
  • Supervised Machine Learning: Regression and Classification 03/09/2023
    Completed an online non-credit course authorized by DeepLearning.AI and Stanford University and offered through Coursera.
  • 🇬🇧 English
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