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sagnikc395/README.md

hey, i'm Sagnik

i’m currently pursuing my Master’s in Computer Science at UMass Amherst.

lately, I’ve been fascinated by how small language models reason — how we can help them think more reliably, and how fine-tuning them on ontologically diverse data might make them better at understanding complex, domain-specific questions, especially in medical QA.

i’ve been trying to get back into writing more regularly — sharing notes, ideas, and half-formed thoughts as I explore new papers and projects. Feel free to check out my writing at blog.

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  1. autodiff autodiff Public

    AutoDiff project made as part of CS689 - Machine Learning , UMass Amherst.

    Python

  2. neural-networks neural-networks Public

    Neural Networks Course Project made as part of CS689

    Python

  3. diffusion-models diffusion-models Public

    Normalizing Flows and Diffusion Models made as part of CS689 HW5.

    Python

  4. small-language-model-experiments small-language-model-experiments Public

    Course Project made as part of CS689 exploring different small language models and their architectures.

    Python

  5. knowl knowl Public

    RAG on Obsidian Data Source

    Python

  6. lox lox Public

    Learning about Compilers Performance by building a simple interpreter.

    Go