Muhammad Noman Riaz

Hello, I'm Muhammad Noman Riaz

AI Engineer | Web Scraping and Automation Specialist | Data Engineer

I design and develop intelligent systems for large-scale data extraction, automation, and AI-driven analytics. My work focuses on building reliable, efficient, and production-ready pipelines that help businesses collect, process, and use data effectively.

Services

Web Scraping & Data Extraction
Custom crawlers for e-commerce, real estate, social media, and research data. Scalable solutions using Playwright, Puppeteer, and Cheerio. Handle authentication, pagination, and GraphQL/REST APIs with proxy rotation and error recovery.

Web Automation
Automation of browser workflows such as logins, form submissions, and data entry. Deployment of Apify Actors with scheduling, monitoring, and cloud storage integration.

AI-Powered Processing
Use of NLP and computer vision for intelligent extraction, classification, and summarization. Integration of large language models (OpenAI, LangChain) for automated decision-making and content understanding.

API Development & Data Engineering
Design of RESTful and GraphQL APIs, scalable FastAPI/Node.js backends, and ETL pipelines. Database integration with PostgreSQL, MongoDB, and Redis for clean and structured data delivery.

Machine Learning & Analytics
Predictive modeling, RAG systems using Qdrant, and AI-based insights for real-time applications. Custom training pipelines for image and text data.

Tech Stack

Python, JavaScript, TypeScript, Playwright, Puppeteer, Cheerio, Crawlee, FastAPI, Apify SDK, Docker, TensorFlow, OpenAI API, LangChain, Qdrant, PostgreSQL, MongoDB.

Vision

I aim to bridge AI and automation to create scalable, intelligent data systems that reduce manual effort and deliver actionable insights. Open to collaborations on web scraping, automation, and applied AI development.