Building reliable data pipelines, scraping engines, and AI-powered backend services — turning raw data into systems that 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 work 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, increasing 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.
Build things that work outside a Jupyter notebook.
Python · JavaScript
Scrapy · BeautifulSoup · Playwright · n8n
TensorFlow · scikit-learn · Hugging Face · FastAPI
Node.js · MongoDB · React · Git
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.
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.
A complete data pipeline covering ingestion, cleaning, transformation, and analysis of student performance data, built with Python and tested end-to-end.
I'm open to conversations around Python development, data pipelines, web scraping, backend systems, and ML deployment.