Hi all, I'm Anand
I'm Anand, a results-driven software engineer with a profound background in computer science and a keen interest in cutting-edge technologies. I am pursuing a Master's in Computer Science at St. Joseph’s University, Bengaluru.
I'm Anand, a results-driven software engineer with a profound background in computer science and a keen interest in cutting-edge technologies. I am pursuing a Master's in Computer Science at St. Joseph’s University, Bengaluru.
COMPETITIVE PROGRAMMER WHO WANTS TO EXPLORE EVERY TECH STACK
Data Structure and Algorithm using Java
Building responsive Single-Page-Apps in React.js
Building real world Machine Learning Models
Developed a personal portfolio for a software engineer using the Next.js framework along with various React libraries and tools. Utilized Next.js for server-side rendering and routing, ensuring fast performance. Utilized Reactstrap for building responsive UI components based on Bootstrap styles. Incorporated React Reveal for adding animations and transitions to elements, enhancing user engagement. Integrated React Lottie for rendering animations in JSON format, providing dynamic visual effects.
Crafted a Netflix clone for Android utilizing the Android stack. Engineered the frontend using Java/Kotlin and XML layouts, incorporating Android Jetpack components for seamless navigation and user interaction.Implemented key features such as video streaming, personalized recommendations, user profiles, and offline viewing capabilities, mimicking the functionalities of the original Netflix platform.
Developed a YouTube clone for Android using the Android stack. Engineered the frontend with Java/Kotlin, XML layouts, and Android Jetpack components for a seamless user experience. Leveraged Firebase for backend services such as authentication, real-time database, and cloud storage, ensuring efficient data management and synchronization.
Linear Regression, a fundamental supervised learning algorithm used for predicting continuous target variables. Naive Bayes classifier, a simple yet powerful probabilistic classifier based on Bayes' theorem with strong independence assumptions between the features. Naive Bayes is often used for text classification tasks, spam filtering, and sentiment analysis....