Muhammad
Daniyal
combine rigorous Quality Assurance with advanced Python automation to deliver reliable software and high-integrity datasets that power the next generation of AI.
Here is the ROI of hiring me.
The QA Pillar
I don't just find bugs; I prevent them. I build rigorous automated testing frameworks that ensure your software is stable, bug-free, and deployment-ready.
The Python/Automation Pillar
Manual processes are slow. I use advanced Python scripting to automate complex workflows, reducing development time and eliminating human error.
The AI Data Pillar
Great AI requires clean data. I specialize in scraping, cleaning, and structuring massive datasets to create the high-quality fuel your machine learning models need.
Engineering Quality & Data Intelligence
Medispheree
2025
AI Based Tour Guide
2024
Campus OPT
2022
AI Dataset Validation Pipeline Visual
2023
1. Analysis & Strategy
I start by analyzing the software requirements or data needs. whether it's defining critical test cases for an app or identifying data sources for an AI model, I create a strategic plan to ensure maximum coverage
2. Framework & Scripting
This is where the coding happens. I build custom automation frameworks using Python & PyTest, or write complex scraping scripts to harvest data. I focus on writing clean, reusable, and scalable code.
3. Execution & Validation
I run the automation suites and data pipelines. This phase involves rigorous testing, data harvesting, and cleaning using Pandas to ensure every dataset is accurate and every bug is caught before production.
4. Integration & Reporting
Finally, I integrate the solutions into your workflow. From setting up CI/CD pipelines in Jenkins/GitLab to delivering structured, AI-ready datasets (JSON/CSV) with detailed quality reports.
Engineering Reliability & Data Intelligence
The QA Specialist
I build robust automated testing frameworks that catch bugs before they reach production. I ensure your software is stable, scalable, and ready for launch.
End-to-End Test Automation
API & Performance Testing
CI/CD Pipeline Integration
The Python Expert
I write clean, efficient Python code to solve complex problems. From building backend tools to automating repetitive workflows, I optimize your operations.
Custom Automation Scripts
Backend Logic & Tooling
Algorithm Optimization
AI Data Engineering
An AI model is only as good as its data. I specialize in harvesting, cleaning, and structuring massive datasets to train high-performing Machine Learning models.
Web Scraping & Data Mining
Dataset Cleaning & Formatting
Synthetic Data Generation
The Reliability & Data
Hello! I’m Muhammad Daniyal, a QA Engineer and Python Specialist with 3 years of experience bridging the gap between software quality and data engineering.
My mission is to build the rigorous automation that keeps software stable and construct the high-integrity datasets that make AI smart. Whether I’m writing Selenium scripts or cleaning data for Machine Learning models, I ensure that every line of code adds value and reliability.
03+
Years of Experience
Specialized experience in Python automation, Quality Assurance, and building datasets for AI models.
50+
Automated Solutions
From full-scale regression testing frameworks to complex web scrapers and data pipelines delivered.
98%
Data Accuracy
Ensuring zero-defect software releases and high-integrity, clean datasets for machine learning training.
Trusted by Engineering Teams
I take pride in collaborating with developers and data scientists. My work has helped startups and enterprises reduce bugs, automate workflows, and train smarter AI models.
Ahmed ur Rehman Python automation framework was a game-changer for our release cycle. We went from manual testing taking 3 days to an automated suite running in 2 hours. His code is clean, reliable, and scalable.
Finding high-quality datasets for our AI model was a nightmare until we hired [Name]. He scraped and structured over 50k data points with zero errors. The data was ready for training immediately. Highly recommended.
