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Schedule Interview NowWorking at Softaims has been an experience that continues to shape my perspective on what it means to build quality software. I’ve learned that technology alone doesn’t solve problems—understanding people, processes, and context is what truly drives innovation. Every project begins with a question: what value are we creating, and how can we make it lasting? This mindset has helped me develop systems that are both adaptable and reliable, designed to evolve as business needs change. I take a thoughtful approach to problem-solving. Instead of rushing toward quick fixes, I prioritize clarity, sustainability, and collaboration. Every decision in development carries long-term implications, and I strive to make those decisions with care and intention. This philosophy allows me to contribute to projects that are not only functional, but also aligned with the values and goals of the people who use them. Softaims has also given me the opportunity to work with diverse teams and clients, exposing me to different perspectives and problem domains. I’ve come to appreciate the balance between technical excellence and human-centered design. What drives me most is seeing our solutions empower businesses and individuals to operate more efficiently, make better decisions, and achieve meaningful outcomes. Every challenge here is a chance to learn something new—about technology, teamwork, or the way people interact with digital systems. As I continue to grow with Softaims, my focus remains on delivering solutions that are innovative, responsible, and enduring.
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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