Hi, I’m Muno —

I am a Senior Associate Data Scientist at the Bank of New York (BNY).

  • M.Sc. in Artificial Intelligence & Innovation, Carnegie Mellon University ’24.

  • B.Sc. in Electrical Engineering (Machine Learning & Controls), University of California San Diego ‘22.

I’m passionate about AI, data science, product management, and business development, with a focus on developing and evaluating technology innovations. My work bridges strategy, investment, and market research to drive data-driven decision-making and impactful outcomes.

Machine-Generated Text Detection

This project leverages the Multi-Scale Feature Fusion Network (MSFFN), a CNN-based model that extracts and fuses features at different scales for nuanced classification. It achieves 80.64% accuracy, outperforming transformer-based baselines with just 1.1 million parameters, making it lightweight and cost-effective. The ensemble variant, MSFFN-Ensemble, further enhances performance, achieving 86.82% accuracy, showcasing the power of domain-specific and generator-specific learning.

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