Siddharth Chaudhary

I am an independent researcher in my final year at St Paul's School, London. My research centers on foundational sequence learning and adaptive architectures, including transformers, state-space models, and recurrent networks, with an emphasis on modularity, memory formation, and plasticity mechanisms that support efficient long-context reasoning and rapid adaptation.

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Publications

I have currently authored two papers, and am actively working on more:

• Hydra: A Modular Architecture for Efficient Long-Context Reasoning: NeurIPS 2025 Workshop on Efficient Reasoning.
• Enabling Robust In-Context Memory and Rapid Task Adaptation in Transformers with Hebbian and Gradient-Based Plasticity — Preprint (Work in Progress)

My previous experience involves working at startups involved in applied ML, including Cactus (YC S25), and CorpusAnalytix (Wharton Cypher Accelerator)

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Blog Posts

• Why I Built Delta: A Programming Language for Machine Learning

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Resume

You can find my resume in PDF format here.