Moaz N.

Moaz N. is a proficient full stack and AI-focused software engineer with a solid background in LLM integration, multi-agent systems, and full-stack development. He has demonstrated hands-on expertise by building a 4-agent LangGraph research pipeline and significantly improving Lighthouse scores for a production site. Moaz placed 2nd among 20+ GIKI teams at the ICPC Regionals, showcasing his computational skills. He is adept in technologies such as React, Next.js, FastAPI, Python, and AWS. During his tenure as a Software Engineer Intern at Software Productivity Strategists, he led a complete redesign of a 15-page company website, achieving a 98% performance improvement and 10% SEO enhancement. His projects include developing InterviewIQ, an AI-powered interview coaching platform, and engineering CI/CD pipelines for full-stack applications on AWS. Moaz is currently pursuing a Bachelor of Science in Computer Science from the Ghulam Ishaq Khan Institute of Engineering Sciences & Technology. He also holds leadership roles, organizing events such as inter-university hackathons, demonstrating his capacity for impactful project delivery and team collaboration.