CVPR poster on Multi-label Plant Species Classification with Vision Transformers.
I’m a Machine Learning Engineer at Voxel51, currently pursuing a Master’s in Computer Science at Georgia Tech. My research interests lie at the intersection of Machine Learning and Representation Learning. I am interested in designing models that learn rich, transferable representations efficiently across domains such as vision, language, and 3D perception.
As computing power grows, I believe the most impactful AI investment over the next decade will be in efficient systems that are more accessible, sustainable, and ubiquitous. Through my research, I aim to advance green AI and resource-efficient learning that scales responsibly across modalities.
I co-lead the DS@GT Applied Research & Competitions (ARC) group and my research spans Vision Transformers, language models, and efficient AI systems for large-scale scientific applications.
Recent News
- Jan 2026 Started a new position as Machine Learning Engineer at Voxel51 link
- Dec 2025 Updated my website and started organizing publications, news, and blog posts
- Dec 2025 Finished teaching the DS@GT ARC - Fall Interest Group (videos available on YouTube) link
- Oct 2025 Attended the PyTorch Conference in San Francisco link
- Aug 2025 Started hosting meetings for the DS@GT ARC - Fall Interest Group link
Featured Posts
- Jun 20, 2025 FeaturedPresenting a poster at CVPR 2025
- Jan 25, 2024 FeaturedIntroduction to Image Classification with CNNs and PyTorchA practical guide to understanding Convolutional Neural Networks (CNNs) by building a model to classify clothing items.
- Jan 25, 2023 FeaturedVisualizing Universal Function Approximation with PyTorchA visual guide demonstrating how neural networks leverage non-linearities to approximate continuous functions, comparing linear baselines against deep networks.
Publication Highlights
- Distilling Spectrograms into Tokens: Fast and Lightweight Bioacoustic Classification for BirdCLEF+ 2025
Anthony Miyaguchi, Murilo Gustineli, Adrian Cheungg
LifeCLEF Workshop, Madrid 2025 — Best Working Note Paper Award - Tile-Based ViT Inference with Visual-Cluster Priors for Zero-Shot Multi-Species Plant Identification
Murilo Gustineli, Anthony Miyaguchi, Adrian Cheungg, Divyansh Khattak
LifeCLEF Workshop, Madrid 2025 — CVPR poster - Transfer Learning with Pseudo Multi-Label Birdcall Classification for DS@GT BirdCLEF 2024
Anthony Miyaguchi, Adrian Cheung, Murilo Gustineli, Ashley Kim
LifeCLEF Workshop, Grenoble 2024 — Best Working Note Paper Award