Sai Kumar Kanuri👋

Hello, I'm Sai Kumar Kanuri, I'm a full-stack developer with a B.Tech in Computer Science and Engineering. I enjoy building websites. with a focus on the MERN stack and Nextjs. I'm currently working as a Systems Engineer at Tata Consultancy Services, where I work with Spring MVC, jQuery, JavaScript, and Oracle SQL.

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About Me

I’m currently working as a System Engineer at Tata Consultancy Services, where I work with technologies like Spring MVC, jQuery, JavaScript, and Oracle SQL. I completed my B.Tech in Computer Science and Engineering in May 2024. I have a great passion for programming and full-stack web development. My favorite part of programming is the problem-solving aspect and the satisfaction of reaching its solution. My core tech stack includes React, Next.js, Node.js, Spring Boot, jQuery, SQL, MongoDB, C++, Java, C, and Python . I’ve solved over 750 problems on LeetCode, which has sharpened my algorithmic thinking and problem-solving skills.

Beyond coding, I enjoy playing video games, watching movies, and I’m currently learning to play the guitar.

My Projects

Zoom-Video-Conferencing-App

Developed a Zoom-like video conferencing app using Next.js, TypeScript, Tailwind CSS, Shadcn, Clerk, and GetStream.

  • Nextjs
  • TypeScript
  • Clerk
  • GetStream
  • ShadCn
  • Tailwind

Snapchat For Devs

Real-time messaging app built with Next.js, TypeScript, MongoDB, Tailwind CSS and Cloudinary integration for optimized image storage.

  • Nextjs
  • TypeScript
  • Tailwind
  • Shadcn
  • MongoDB
  • Cloudinary

Twitter

Successfully implemented core backend features Follow, Unfollow, Create Tweet, Delete Tweet, and Timeline functionalities.

  • React
  • JavaScript
  • Express
  • Nodejs
  • MongoDB
  • Tailwind
  • Redux

Flight Booking Portal

Developed a flight management system which has both admin and user roles using MERN stack.Usage of JSON Web Tokens for authentication in all the routes.

  • React
  • MongoDB
  • Express
  • NodeJS
  • JavaScript

Cloud Detection and Nowcasting

This project presents an algorithm for cloud detection in INSAT satellite images, followed by cloud motion prediction in subsequent frames.

  • MaskRCNN
  • K-Means
  • LSTM
  • MPA
  • Nowcasting
  • Detection

NoteZipper

NoteZipper is a web application that allows users to create, organize, and manage their digital notes in a seamless and efficient manner.

  • React
  • JavaScript
  • Express
  • Nodejs
  • MongoDB
  • Tailwind
  • Redux

Aid For Life

Developed a live tracking software similar to Uber or Ola where a person can quickly book an ambulance by providing the specifics of their emergency.

  • Flutter
  • HTML
  • MongoDB
  • CSS
  • JavaScript

IMDB Rating Prediction

An end-to-end toolkit on building a movie review sentiment classification LSTM model in Keras Deep Learning

  • Sentiment
  • NLP
  • Python
  • Keras
  • Numpy
  • Flask

My Skills

My experience