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Aritra Bandyopadhyay
Machine Learning Researcher
Exploring mechanistic interpretability, multimodal systems, and information retrieval. This Quarto template embraces avant-garde minimalism, relying purely on scale, whitespace, and typographic contrast.
Focus
Interpretability
Mechanistic interpretability, post-training behavior, and making neural representations transparent.
Engineering
Bridging the gap between research fellowships, startup ML engineering, and reliable deployment.
Selected
IJCCI / ECTA • 2023
Differential Evolution Algorithm Based Hyper-Parameter Selection of CNNs for Speech Command Recognition
An evolutionary hyper-parameter search paper exploring the optimal architecture for convolutional neural networks in audio processing.
Repositories
Pandas
Flexible and powerful data analysis and manipulation library for Python.
PyTorch
The deep learning stack that keeps showing up in research code and production prototypes.