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Jatin Gaur

I am a Pre-Final Year B.Tech student at IIIT Naya Raipur, exploring Computer Science.
With some silly projects in Web Development and Machine Learning,
Also tried some Competitive Programming,
Outside coding, I'm a decent chess player

Resume

Education

Electronics and Communication Engineering

IIIT Naya Raipur | 2022-2026

GPA : 8.36

Experience

SAMSUNG - Research and Development Intern

Sept 2024 - Present

Automated the process of generating Gazebo world with 100+ unique objects integration and physics simulation by designing a optimal python script to convert json to .world file

Projects

Project 1

JobQuest

Designed a web app tracking applications, generating skill tests based on job descriptions using AI, and improving applicant screening by 40%.

Project 2

Guitar Transcriber

Developed a Random Forest-based audio transcriber with 93% accuracy, recognizing guitar chords using optimized onset detection and feature extraction techniques like MFCC and spectrogram.

Project 3

Load Balancer

A multi-threaded, event based load balancer written from scratch in C++ using socket api.Uses thread pooling and a very basic implementation of event loop using epoll to select readable and writable file descriptors.

Project 4

PL Prediction

Developed a performance prediction model for football players using scraped match data, leveraging machine learning algorithms like Random Forest, XGBoost, and GBR to forecast stats against specific opponents.

Project 5

Digit Recognition

Built a two-hidden-layer neural network from scratch for MNIST digit classification, extending a one-hidden-layer architecture to achieve accurate digit recognition with a custom implementation.

Project 6

Network Slicing Classification with KNN

A machine learning project that builds and evaluates a KNN classifier to predict 5G network slicing types (eMBB, URLLC, mMTC) based on key network performance metrics.

Project 7

Movie Hunt

A movie guessing game where players guess the movie name based on its plot overview, with hints like release year, genre, and letters revealed progressively, generating a score based on hints used.

Project 8

Music analysis

This platform allows users to upload songs, and our system will predict the emotion of the song using machine learning. The predicted emotions are then stored in playlists, and users can listen to their uploaded songs at any time on our website.

Project 9

Food Ordering app

This is a simple food ordering app built using Python and the Tkinter library. The app allows users to browse a menu, select items, and place an order. It also has an admin section for managing staff and dishes.

Accounts