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A passionate Developer from India!!


  • 🔭 I’m currently working on LLMs and GANs

  • 🌱 I’m currently learning Generative AI and LLMs

  • 👯 I’m looking to collaborate on Cloud/AI projects

  • 📫 How to reach me [email protected]

  • 📄 Know about my experiences AS/Resume

  • ⚡ Fun fact -> I'm fairly good in Athletics🏃🏼‍♂️🎖️


Connect with me:

LinkedIn Twitter Instagram LeetCode HackerRank




Languages and Tools:

CC++GitGoJavaJavaScriptPythonHTML5ReactTailwindCSSBootstrapCSS3NodeJSGraphQLMongoDBMySQLPostgreSQLFirebaseAmazon Web ServicesArduinoBlenderDockerLinuxTensorFlowPyTorchFlutterPhotoshopFigmaMetaMaskWeb3JsGoogle Cloud


📈 Github Stats:

sau-anik-9

 sau-anik-9

sau-anik-9

Anik Sau's Projects

cd icon cd

All the weekly lab work of the subject 18CSC304J Compiler Design.

d2l-en icon d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.

flutter_twitter_clone icon flutter_twitter_clone

Fully functional Twitter clone built in flutter framework using Firebase realtime database and storage

letsstockify icon letsstockify

Track your Favourite Stocks! A Live Stock Tracker App using Django Channels, Celery and Redis

ll1-parser icon ll1-parser

Desktop app for visualizing parse tree , abstract syntax tree , action table , parse table for any valid LL1 grammar.

parallax-scroll-animation icon parallax-scroll-animation

Parallax Scrolling is a technique of designing the background of a website layout to move at a slower rate than the foreground, creating a 3D-like effect.

smart-tourist-guide icon smart-tourist-guide

This app helps user to specify city where he/she want to visit and our application will suggest places and venues based on user interest.

telegram_vc_bot icon telegram_vc_bot

Telegram Voice Chat Bot Written In Python Using Pytgcalls & Pyrogram.

traffic-congestion-prediction icon traffic-congestion-prediction

Proposed Proof of Concept to solve Traffic Congestion and Prediction Problem for Smart Cities by using LSTM(for future prediction) + CNN(To detect traffic density) + using tweets and combine all three to produce a traffic congestion factor and suggest routes based on that using Google API at any time in future.

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