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1 year of experience
I am a Computer Science student focused on building real-world AI-driven applications that solve practical problems. My work centers around integrating machine learning into usable products rather than just theoretical models. I developed SnapTrace AI, a deepfake detection system designed to identify AI-generated images, and an AI Email Triage System that intelligently classifies and structures email data. Through these projects, I have gained hands-on experience in model integration, inference pipelines, and deploying AI systems in real environments. I enjoy debugging complex problems, improving system reliability, and continuously iterating on my projects to make them more impactful and production-ready. My goal is to grow as a software engineer by building scalable AI-powered solutions that create real value.