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Schedule Interview NowMy name is Muhammad A. and I have over 11 years of experience in the tech industry. I specialize in the following technologies: Python, Python Script, Data Extraction, Web Scraping, Scrapy, etc.. I hold a degree in Master of Computer Science (MSCS). Some of the notable projects I’ve worked on include: GitHub: ahmednagra: 1M+ Daily from E-commerce, Jobs, Real Estate, Multi-Model AI Backend with Real-Time Content Generation, E-commerce Website Data Scraping Portfolio, B2B Pharmaceutical Marketplace Lead Generation Scraper, Advanced Skip Tracing Data Extraction, etc.. I am based in Gujranwala, Pakistan. I've successfully completed 9 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
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Techlogix
Built EliteScraperHub, open-source Python framework extracting 1M+ data points daily from E-commerce (Amazon, eBay), Jobs (LinkedIn, Indeed), and Real Estate (Zillow, Realtor) platforms. Features advanced anti-detection (10K+ proxy rotation, CAPTCHA solving), built with Scrapy, Selenium Integrated OpenAI GPT-4 for classification and Gemini for market analysis. Achievements: 99.9% success rate, auto-adapts to site changes, handles 10K concurrent tasks. Reduced data costs by 80%. Powers price monitoring, lead generation, market research. GitHub: https://github.com/ahmednagra/EliteScraperHub
Built enterprise content platform orchestrating OpenAI GPT-4, Google Gemini, and TwelveLabs APIs via FastAPI backend. System processes 500K+ AI operations monthly with 70% cost reduction through intelligent caching. Implemented smart model routing for optimal AI selection, real-time WebSocket streaming, and Instagram API integration for auto-publishing. PostgreSQL handles millions of records with Redis caching. Results: 99.9% uptime, 50ms cached responses. Client saved $8K/month on AI costs while 10x scaling content production. Handles 10K concurrent requests.
Showcasing a collection of web scraping and data extraction outputs from renowned e-commerce platforms such as Amazon, Lazada, Atida, Bol, Chewy, Cutty, Fragrantica, MWK, and Ocado. This portfolio demonstrates my proficiency in extracting product data and automating data processing tasks.
Developed a data scraper for a B2B Pharmaceutical Marketplace, targeting pharmaceutical companies across MENA, Africa, Asia, and Eastern Europe/Central Asia. The scraper collected verified company data from sources like Google, LinkedIn, and B2B directories to enhance client platform listings. Leveraged Gemini AI for efficient data extraction, focusing on high-priority regions. Delivered a CSV file with details like Company Name, Website, Contact Info, Product Focus, and Certifications for streamlined client integration.
Developed a custom skip tracing solution to extract individual records from TruePeopleSearch. The system was designed to identify exact name matches based on city. If no exact match was found, it intelligently returned two individuals with the same last name, aged between 38–60, residing in the same city. The solution delivered accurate, structured data tailored to specific skip tracing criteria.
Master of Computer Science (MSCS) in Computer science
2010-01-01-2014-01-01