I'm a Computer Science graduate specializing in Artificial Intelligence & Machine Learning, with interests in machine learning, data science, and software development. I enjoy building intelligent applications using Python while developing scalable backend services with Java and Spring Boot.
Most of my experience comes from personal and academic projects, where I've worked on machine learning, backend development, and data-driven applications. Building projects has been my primary way of learning, helping me strengthen my understanding of software engineering, REST APIs, databases, and modern AI development.
I'm currently seeking entry-level opportunities where I can apply my skills, continue learning, and contribute to software and AI-driven projects.
For more information about my background and projects, feel free to connect with me on LinkedIn.
- Education: Bachelor of Technology in Computer Science (Artificial Intelligence & Machine Learning)
- Areas of Interest: Machine Learning, Data Science, Software Development
- Languages: Python, Java, JavaScript, SQL
- Frameworks & Technologies: Scikit-learn, TensorFlow, FastAPI, Spring Boot, React, MySQL
- Tools: Git, GitHub, Docker, Postman, VS Code, IntelliJ IDEA
- Currently Exploring: Deep Learning, Spring Security, Cloud Computing, and Data Structures & Algorithms
- Python
- Java
- JavaScript
- SQL
- Machine Learning
- Deep Learning
- Data Science
- Scikit-learn
- TensorFlow
- Pandas
- NumPy
- OpenCV
- Spring Boot
- FastAPI
- React
- MySQL
- REST APIs
- Git
- GitHub
- Docker
- Postman
- Visual Studio Code
- IntelliJ IDEA
A Spring Boot application that analyzes resumes, evaluates ATS compatibility, and generates personalized feedback using the Gemini API. The application integrates AI capabilities with backend development to help users improve their resumes.
Tech Stack
Java • Spring Boot • Gemini API • REST API
Repository
A machine learning application that predicts Industry 4.0 digital maturity using classification models with an interactive Streamlit interface for prediction and visualization.
Tech Stack
Python • Scikit-learn • Streamlit
Repository
- Machine Learning and Deep Learning
- Building AI-powered applications with Python
- Data Analysis and Predictive Modeling
- Backend development with Spring Boot
- Cloud Computing
- Data Structures & Algorithms