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Hi there šŸ‘‹ I am Ayush Mandowara, currently working as a Machine Learning Engineer at AdeptMind

  • šŸ”­ Iā€™m currently creating a ML Ops pipleine primarily using AWS SageMaker and FastAPI
  • šŸŒ± Iā€™m currently learning about ChatGPT and Prompt Engineering to build highly scalable and production ready applications
  • šŸ‘Æ My thoughts and notes are avaible at my blog
  • šŸ’¬ Ask me about Python, Vim, Git, Automated Testing & Deep Learning
  • šŸ“« How to reach me:
    • My Internet Handle: @ayushxx7
    • My Email (base64 encoded): YXl1c2h4eDdAZ21haWwuY29t
  • šŸ˜„ Pronouns: He/Him/His
  • āš” Fun fact: I wrote a shell script to turn my Bluetooth On & Off

Ayush Mandowara's Projects

backupcart icon backupcart

This will act as a backup for the custom files.

bikesharing icon bikesharing

Understanding which predictors have the most impact for a Bike Sharing startup using Linear Regression

blackfridaysalesprediction icon blackfridaysalesprediction

Understanding Customer Purchase behavior to predict sales on Black Friday. Link to Hackathon: https://datahack.analyticsvidhya.com/contest/black-friday/#ProblemStatement

blog icon blog

My blog created with React, Gatsby & Markdown

contrastive-htc icon contrastive-htc

This repository implements a contrastive learning model for hierarchical text classification. This work has been accepted as the long paper "Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification" in ACL 2022.

crud icon crud

CRUD API/App using MongoDB, Node.js, React.js

dotfiles icon dotfiles

My custom config files. Mostly, my vimrc.

eda-investmentanalysis icon eda-investmentanalysis

Choose which investment type, countries and sectors should Spark Funds invest in, given some data and business constraints.

fitanics icon fitanics

fitness app for angel hack (calorie counter with sensor usability in exercises)

gesture-recognition icon gesture-recognition

Convolution Neural Network (3D CNN / CNN + RNN) to identify gestures made by humans for a (hypothetical) smart tv which can take input such as thumbs up, thumbs down, left swipe etc.

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