💫 About Me:

Hey there! I'm Vaibhav an aspirsing software engineer currently completeing my bachelors in computer science. I'm committed to mastering the ins and outs of programming languages and technologies. At university, I've been honing my skills in various languages including Python, Java, and JavaScript. I've also proficient in HTML, CSS, and C, among others. My coursework has covered essential topics like Software Engineering, Data Structures and Algorithms, and Object-Oriented Programming, providing me with a strong foundation to tackle real-world challenges. Outside of university I am developing my skills in software development by gaining knowledge in web development frameworks and languages. Additionally, I've worked on diverse projects, such as developing a AI application for exercise tracking as well as a Next.js weather web application. With a keen interest in software engineering, data structures, and algorithm design, I'm always eager to expand my knowledge and take on new challenges. If you're looking to collaborate on projects or simply want to chat about tech, feel free to reach out. Let's connect and build something awesome together!.

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Website

Currently Learning:

⌨️ Full Stack Development with Next.js and Golang
🤖 Generative AI/Machine Learning with Python
🐋 Containerization and Deployment with Docker

Check out my coding portfolio!

💻 Tech Stack:

📊 GitHub Stats:

✍️ Random Dev Quote

😂 Random Dev Meme

vai195's Projects

dog-image-classifier

Explored three different convolutional neural network architectures (AlexNet, VGG, and ResNet) to determine which is best for the application to classify animal images as dogs and what breed they are.

exercise-tracker-mern

This is a practice project of a full stack exercise tracker web application where a user can keep track of the various exercises they completed or want to complete during their workout.

gmu-class-search-scheduler

This project is a robust class search system specifically tailored for George Mason University, catering to a student population of over 30,000. It employs a MongoDB database to manage class and scheduling data, a Go application to establish a RESTful API for the backend, and a Next.js frontend for user-friendly interaction.

nba2025ppg-prediction-ml

Created a prediction model to predict a players points per game (PPG) stat for the upcoming 2024-2025 season based on their PPG from the past 3 seasons (2022-2022, 2022-2023, 2023-2024). Used a Linear Regression model using sklearn to combine a player's data from all three seasons to help predict their PPG in the upcoming 2024-2025 season.

next-weather-app

Weather Application website made using Next.js and deployed on Vercel utilizing server side rendering with weather data APIs

pumpup-ai-exercise-tracker

An AI powered Exercise Tracker application utilizing an OpenAI chat bot to answer user fitness/health questions based on their tracked exercises to achieve their fitness and heath goals