Hi,

I am a B.Tech student passionate about AI, problem-solving, and building smart tech solutions. Currently pursuing my degree at Gokaraju Rangaraju Institute of Engineering & Technology, I'm eager to gain real-world experience through internships and hands-on projects.

Devansh Kumar

AI enthusiast & Java Developer

About Me

I'm a dedicated B.Tech student seeking to grow through real-world internship opportunities. With proficiency in Java, SQL, and HTML, I have a strong focus on software development and database management.

I'm enthusiastic about working in dynamic teams and committed to continuous learning. My passion for AI and technology drives me to explore innovative solutions and tackle complex problems.

Technical Skills

Java Python SQL HTML AI Development Machine Learning Problem Solving

Soft Skills

Problem-solving Video editing Team Collaboration

Education

B.Tech (Pursuing)

Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad

Graduating 2026

Intermediate

Narayana Junior College, Hyderabad

Featured Projects

Secure Chat Application

Java-based multi-threaded chat system supporting both private and public message transfer with robust security features.

Technologies Used:

Java Multi-threading Socket Programming Security

Key Features:

  • Real-time messaging
  • Secure encryption
  • User authentication

Loan Approval Classification

A machine learning–based Loan Approval Classification System that delivers accurate, fair, and reliable loan approval predictions. The project tackles common issues in real-world loan datasets—such as class imbalance and limited data—by augmenting the dataset using CTGAN (Conditional Tabular GAN) to generate realistic synthetic samples.

Technologies Used:

CTGAN Scikit-learn Random Forest XGBoost LightGBM CatBoost TabTransformer

Key Features:

  • Synthetic Data Augmentation
  • Ensemble Learning
  • Advanced Tabular Modeling
  • Balanced Evaluation Metrics
  • Real-World Applicability
  • Fair Decision Making

AI - Lunar Lander

A custom AI agent trained to land a spacecraft safely in the classic OpenAI Gym LunarLander-v2 environment using Deep Q-Learning. This project demonstrates my understanding of reinforcement learning algorithms and practical application of neural networks in simulated environments.

Technologies Used:

AI Python Open AI Gym Matplotlib

Key Features:

  • Reinforcement Learning
  • Neural Network–Based Control System
  • Simulation & Performance Optimization

Get In Touch

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