"I believe in intuition and inspiration. Imagination is more important than knowledge. For knowledge is limited, whereas imagination embraces the entire world, stimulating progress, giving birth to evolution. It is, strictly speaking, a real factor in scientific research.”
― Albert Einstein
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I'm a graduating double major senior student in Computer Science and Applied Mathematics working roles as an AI/ML Research Assistant, AI Ed-Tech Startup Founder, and AI/ML Consultant.
My work focuses on visualization-driven artificial intelligence, merging computation with human intuition to create more transparent, interactive, and trustworthy AI systems. I have developed methods in synthetic data generation, boosting classification models, and multidimensional clustering, alongside advancing feature engineering, knowledge discovery, and classification refinement. My approach bridges the gap between cutting-edge research and real-world impact, ensuring AI models are both interpretable and high-performing.
With experience spanning system administration, full-stack software development, and academic AI/ML research, I approach every challenge from a mindset of deconstructing complex problems, building modular tools, and verifying every result reproducibly.