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Aritra Bandyopadhyay

Machine Learning Researcher

Exploring mechanistic interpretability, multimodal systems, and information retrieval. This Quarto template provides a “Living Document” layout with marginalia columns, feeling like an active, annotated research file.

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Focus Areas

Area 1
Interpretability

Mechanistic interpretability, post-training behavior, and making neural representations transparent.

Area 2
Engineering

Bridging the gap between research fellowships, startup ML engineering, and reliable deployment.

Highlighted Record

Published: 2023
IJCCI / ECTA

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.

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Software

Library
GitHub ↗

Pandas

Flexible and powerful data analysis and manipulation library for Python.

Framework
GitHub ↗

PyTorch

The deep learning stack that keeps showing up in research code and production prototypes.