I am a Masters in Artificial Intelligence candidate at Florida Atlantic University with a GPA of 3.72, specializing in the development of end-to-end machine learning systems. My expertise lies at the intersection of Generative AI, computer vision, and data engineering, where I focus on transforming complex research into usable, high-impact products. From architecting multi-agent automation systems that reduce manual effort by 90% to building robust SQL-based ETL pipelines for large-scale analytics, I pride myself on shipping secure, maintainable applications that solve real-world challenges.
Driven by a passion for automation and “production-ready” AI, I have mastered a versatile tech stack including Python, PyTorch, and SQL, complemented by certifications in Azure AI and Data Fundamentals. My experience as a Data Engineering Intern and my participation in high-stakes hackathons have refined my ability to work within Agile environments and communicate technical narratives to stakeholders. I am committed to building the next generation of intelligent systems—whether that involves designing agentic workflows, fine-tuning LLMs, or creating scalable data architectures that ensure 100% integrity.
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