Hi, I'm Mukesh Kumar, a dedicated Software Developer and Machine Learning Enthusiast.

Explore my work and skills below.

About Me

Hey there! I'm Mukesh Kumar – a dedicated computer engineering student at Thapar Institute of Engineering and Technology with a strong focus on machine learning, data engineering, and software development. I thrive on transforming data into actionable insights and enjoy building intelligent, data-driven solutions that prioritize both scalability and impact.
My journey in tech is about more than just understanding frameworks; it’s about exploring the depth of data through machine learning and data analysis, and developing robust engineering solutions that align with industry needs. With hands-on experience in Python, SQL, and frameworks like Pandas and Scikit-Learn, I am committed to a continuous learning path in advanced data engineering and machine learning, pushing the boundaries of what tech can achieve.

Education

Thapar Institute of Engineering and Technology

Bachelor of Computer Engineering
2021 - 2025

GPA: 7.64

Achievements

Published 4 datasets on Kaggle, improving data resources for the research community.

Achieved Bronze Medal on Kaggle for dataset quality and reliability.

Gained Contributor status on Kaggle, aiming for Expert level.

Created and managed 800+ subscriber YouTube channel *Creative Wolf*, focusing on PowerPoint and design tutorials.

Participated in Flipkart GRiD 5.0 - Health+ Track, demonstrating dedication and expertise in health-focused challenges. View Certificate

Participated in Flipkart GRiD 6.0 - Software Development Track, contributing to innovative solutions in software development. View Certificate

Participated in TATA Crucible Campus Quiz 2024, showcasing analytical and strategic skills in a competitive quiz environment. View Certificate

Cleared Round 1 of Naukri Campus Young Turks, demonstrating analytical skills and adaptability. View Certificate

Coding Profiles

Skills

Programming Languages

C++

Python

JavaScript

SQL

Web Technologies

HTML

CSS

React.js

Node.js

Tailwind CSS

Bootstrap

Frameworks and Libraries

TensorFlow

Pandas

NLTK

Scikit-learn

Transformers

Databases

MongoDB

MySQL

Tools

Git

GitHub

Postman

Visual Studio Code

Jupyter Notebook

Soft Skills

Team Leadership

Collaboration

Communication

Coursework

Data Structures and Algorithms

Object Oriented Programming

Operating Systems

Natural Language Processing (NLP)

Projects

Urban Sound Classifier

Designed a neural network model with TensorFlow for classifying urban sounds, attaining an accuracy of 86.8% on the UrbanSound8K dataset.

Employed Mel-Frequency Cepstral Coefficients (MFCCs) for effective feature extraction, converting audio signals into 40-dimensional feature vectors.

Processed over 8,700 samples, improving the model’s ability to distinguish various urban sounds.

Deep LearningTensorFlowMFCCUrbanSound8K Dataset

Source Code Demo

Duplicate Question Detection on Quora

Developed an advanced model to detect duplicate questions on Quora, significantly enhancing search efficiency and reducing content redundancy.

Engineered advanced text preprocessing techniques, including TF-IDF, Word2Vec embeddings, and similarity metrics, to enrich feature quality for accurate classification.

Achieved 79% accuracy with XGBoost, and implemented LSTM, BiLSTM, and GRU models, achieving up to 72% accuracy.

Machine LearningNLPXGBoostLSTMBiLSTMGRU

Source Code Demo

Punjabi Chat Bot for Farmers

Engineered the backend and integrated advanced NLP libraries for Punjabi and Hindi, enhancing query processing accuracy by 40%.

Architected and developed 2 key user interfaces, with iterative testing conducted to improve usability by 30%.

Designed features to deliver real-time agricultural insights and government scheme updates, aimed at supporting over 5,000 farmers in future deployment.

Machine LearningNLPAIPunjabiHindi

Source Code

Get In Touch

Why Be Shy, Say Hi...

Feel free to reach out to me via any of the platforms below. Whether it's about new opportunities or just to connect, I'd love to hear from you!

LinkedIn GitHub Email

You can reach me via email at officialmukeshdevrath@gmail.com
Or give me a call at
+91-783-7865-802.