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Hi there!

apoorv__tyagi  apoorvtyagi  apoorv#4040  Buy me a Coffee

About Me:

  • 🏦 I'm Backend Engineering Lead working for a Health Tech startup in India
  • 📝 I regulary write technical articles for hashnode and dev.to
  • 💻 I use daily: .js, .java, .py, .sql
  • 📖 I am currently reading Designing Data Intensive Application by Martin Kleppmann
  • 💬 Talk to me about cricket, python (both of these are not any kind of insect or animals), silicon valley & startups
  • 👯 We can connect to play some games of Chess ♟
  • ⚡ Fun fact: Je connais un peu le français
  • 🧑‍💻 Tech I work on :

java python spring Nodejs GIT kubernetes eastic azure docker mysql mongodb

My Github Stats:

Apoorv's github stats Top Langs GitHub Streak

⏳ Year Progress { ████████████▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ } 42.91 % as on ⏰ 5-Jun-2024

My Latest Blog posts:

▶ ... view more

GIF A Famous Fact/Quote:

• “It’s hardware that makes a machine fast. It’s software that makes a fast machine slow.”— Craig Bruce

Here's some humor for you:

Error fetching resource, Refresh again to view Jokes Card

Apoorv Tyagi's Projects

anton icon anton

Anton - A babbling bot for whatsapp that can reply chat messages for you

beats icon beats

:tropical_fish: Beats - Lightweight shippers for Elasticsearch & Logstash

bird-box icon bird-box

🐦💬 Update a gist to contain your latest tweet

chess-com-box-py icon chess-com-box-py

♟︎ Update a pinned gist to contain your Chess.com Blitz, Bullet, Rapid, Puzzles & Daily Ratings

ci-cd icon ci-cd

A demo app for learning CI/CD using docker and kubernetes

instabot icon instabot

A Goal oriented chatbot service with PayPal Payments and Firebase Integration

jobot icon jobot

Simple Use Case ChatBot using dialogflow

login-app icon login-app

Basic Template for Android Login & SignUp using Firebase

node-retry icon node-retry

Retry mechanism to tackle thundering herd problem

phrase_extraction icon phrase_extraction

This is a project on Natural Language processing course where a given training text file with phrases are provided with which model is trained and evaluated. Later the trained model is used to predict the phrases for the test file

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