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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

Aadya Chinubhai's Projects

aeon icon aeon

A toolkit for conducting machine learning tasks with time series data

arviz icon arviz

Exploratory analysis of Bayesian models with Python

cellsegmentationapp icon cellsegmentationapp

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 Microscopic Images.

chainopy icon chainopy

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

fasten icon fasten

:construction_worker: Fasten toolkit, for streaming operations on fastq files

ivy icon ivy

The Unified AI Framework

linearregressionscratch icon linearregressionscratch

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

optuna icon optuna

A hyperparameter optimization framework

scipy icon scipy

SciPy library main repository

sunpy icon sunpy

SunPy - Python for Solar Physics

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