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Learning, always
:octocat:
Learning, always

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furged/README.md

Hey!

🕷️ I'm Anushka.

👾 I work on machine learning, backend development, and AI systems.

Tech Stack

Languages

Python C++ JavaScript SQL

ML & AI

PyTorch TensorFlow Scikit-Learn Transformers NumPy Pandas Matplotlib Seaborn OpenCV

Web Dev

FastAPI Flask REST API JWT PostgreSQL React HTML5 CSS3 Bootstrap

Tools

Git GitHub Linux AWS Jupyter VS Code

PROJECTS

Sentinel AI

PyTorch Transformers Flask

Predicts when transformer models are likely to make incorrect predictions by combining uncertainty estimation with disagreement between multiple models.

  • DistilBERT-based classifier
  • Confidence and entropy analysis
  • Failure prediction pipeline
  • Web interface for diagnostics

Repository Live Demo

Neural Surrogate Modeling

PyTorch Fourier Neural Operator Scientific ML

Neural surrogate model for solving the 2D Heat Equation using a Fourier Neural Operator as an alternative to traditional PDE solvers.

  • Fourier Neural Operator implementation
  • Multi-step autoregressive prediction
  • Resolution-independent inference
  • Heat equation simulation

Repository


2026 Goals (maybe)

  • Build Code Crisis
  • Learn JavaScript and React
  • Learn R (to add more pain in my life)
  • Contribute to open source
  • Ship more projects

Let's Connect

LinkedIn Email

Pinned Loading

  1. meta-model-failure-prediction meta-model-failure-prediction Public

    A meta-learning system that predicts when a sentiment transformer is about to be wrong

    Jupyter Notebook

  2. neuro-surrogate-ds neuro-surrogate-ds Public

    Neural surrogate modeling for the 2D Heat Equation using CNNs and FNOs.

    Python 1