Kartik Ahluwalia

About Me

A results-oriented Computer Science undergraduate with hands-on experience in full-stack web development and machine learning. Proven ability to deliver data-driven solutions and develop robust software.

Education

Manipal Institute of Technology

Bachelor of Technology in Computer Science

CGPA: 8.79 | 2022 – 2026

Experience

Nov 2024 – Jan 2025

Trainee Engineer

Amantya Technologies

Architected a full-stack job board using Next.js, JavaScript, and Prisma ORM.
Integrated NextAuth.js for secure GitHub OAuth and full CRUD functionality.

June 2024 – July 2024

Intern

Xebia

Developed customer segmentation models using Scikit-learn, improving marketing accuracy by 30%.
Integrated ML models into client personalization workflows using Python.

Oct 2023 – Nov 2023

WordPress Developer Intern

Connect Link

Enhanced site SEO and performance via optimized plugins, boosting load speed by 45%.

Selected Projects

VibeVerse Chat

A real-time group chat application built with the MERN stack and Socket.IO for WebSocket communication.

React Node.js MongoDB Socket.IO

View Project →

Bit Predict

Engineered deep learning models (LSTM, Conv1D) with TensorFlow and Keras to predict Bitcoin prices, achieving a MAE of 615.5.

TensorFlow Keras Python

View Project →

SMS Spam Detection

Benchmarked ML classifiers on 5k SMS messages, achieving 98% F1-score. Published findings at WCSE 2023.

Scikit-learn Python NLP

View Publication →

Twitter Sentiment Analysis

Developed a machine learning model to classify the sentiment of tweets as positive, negative, or neutral using Natural Language Processing.

Python Scikit-learn NLP

View on GitHub →

My Tech Stack

Languages

Python
C++
JavaScript
SQL

Web Development

React / Next.js
Node.js / Express.js
Tailwind CSS
HTML/CSS

Machine Learning

TensorFlow
Scikit-learn
Pandas / NumPy
Matplotlib

Databases & Tools

MongoDB
PostgreSQL
Git / Docker
VS Code

Leadership

Vice Chair

IEEE CS Student Chapter

2023-2024

R&D Head

CyberSpace Club