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Achievements

Achievement: Pull Sharkx2Achievement: Pair Extraordinaire

Achievements

Achievement: Pull Sharkx2Achievement: Pair Extraordinaire

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aadya940/README.md

Aadya's Portfolio

Introduction

Hi there 👋
I am Aadya, and I am majorly interested in the Mathematics, Programming, building toolchains and libraries that matter.

Tech Stack

  • Languages: Python 🐍, Cython, C
  • Libraries/Tools: Numpy, SciPy, sklearn, Matplotlib, Seaborn, Keras, Tensorflow, Pytorch, and many more...
  • CI/CD: Github Actions
  • Testing: Pytest
  • Build Tools: Makefile, gcc

Experience

  • Google Summer of Code 2024: Participating with the organization NumFOCUS.
  • ML Engineer Intern at Unify AI: Worked on their Python Transpiler API.

Personal Projects

Additional Experience

  • Peer Tutor for Stochastic Processes: Tutored students on topics like Markov Chain Monte Carlo Algorithms, Probability Theory, etc.
  • Deep Learning Models: Experimented with various models including U-Nets, U-Net++, Alexnet, etc.

Current Projects

Contact Info

Pinned Loading

  1. chainopy chainopy Public

    ChainoPy: A Python Library for Discrete Time Markov Chain based stochastic analysis

    Jupyter Notebook 12 1

  2. chaintools chaintools Public

    An implementation of Markov Chains in C.

    C 1

  3. CellSegmentationApp CellSegmentationApp Public

    This App is a means to deploy a U-Net Model trained on 2018 Data Science Bowl Images to segment Cell Nuclei. Lab Workers / Doctors / Researchers can use this app to segment Cell Nuclei from Microsc…

    Python

  4. LinearRegressionScratch LinearRegressionScratch Public

    I have implemented Linear Regression Algorithm from Scratch ( without ML Libraries ) to predict prices of used Cars. The dataset has been taken from Kaggle.

    Jupyter Notebook