Building automated data pipelines, scraping engines, and AI-powered backend services — turning raw data into systems that actually run in production.
I'm a Python Developer based in Lahore, Pakistan, currently working as a Junior Python Web Scraping Developer at Orzaen, where I build reliable data extraction pipelines using Scrapy, BeautifulSoup, and Playwright. My background sits at the intersection of web scraping, backend engineering, and applied machine learning — I don't just collect data, I design systems that clean it, process it, and feed it into models that make decisions.
Previously, at Nexium, I integrated pre-trained ML models into live systems using Python and Hugging Face, which increased user engagement by 30%. I also automated end-to-end workflows with n8n, cutting manual processes by 40%, and built backend APIs that reduced model response latency by 25%. At EZ Technologies, I worked on ML-powered predictive analytics within a MERN stack, improving decision-making accuracy by 20% through optimized data pipelines.
What ties all of this together is a simple goal: build things that work outside a Jupyter notebook.
Languages & Core
Web Scraping & Automation
Machine Learning & AI
Backend & Data
🕸️ Whisky Exchange Scraper A production-grade web scraping pipeline built with Scrapy and Playwright to extract structured product data at scale, with built-in handling for dynamic content and anti-bot measures.
🤖 AI Personalization & Monitoring Platform An end-to-end system combining FastAPI, Hugging Face models, and n8n automation to deliver personalized recommendations, with real-time dashboards for tracking model performance.
📊 Student Performance Data Pipeline A complete data pipeline project covering ingestion, cleaning, transformation, and analysis of student performance data, built with Python and tested end-to-end.
I'm always open to discussing Python development, data pipelines, and ML deployment. Feel free to reach out.