🎓 Computer Science student at IIIT Kottayam passionate about Artificial Intelligence, Machine Learning, and Full-Stack Development.
I enjoy building end-to-end applications that combine data, machine learning, and software engineering to solve real-world problems. My interests include predictive modeling, intelligent systems, open-source contribution, and scalable web applications.
- Built and deployed a machine learning application for loan approval prediction.
- Performed data preprocessing, feature engineering, model evaluation, and deployment.
- Achieved 87.5% accuracy using Logistic Regression.
- Tech Stack: Python, Pandas, Scikit-Learn, Streamlit.
- Full-stack accommodation booking platform inspired by Airbnb.
- Built using the MERN stack with authentication, property listings, and responsive UI.
- Tech Stack: MongoDB, Express.js, React, Node.js.
- Python
- C++
- JavaScript
- Machine Learning
- Data Analysis
- NumPy
- Pandas
- Scikit-Learn
- Feature Engineering
- Model Evaluation
- React
- Node.js
- Express.js
- MongoDB
- REST APIs
- Data Structures & Algorithms
- Object-Oriented Programming
- Problem Solving
- Git
- GitHub
- VS Code
- Jupyter Notebook
- Streamlit
- Building machine learning and AI-powered applications
- Strengthening Data Structures & Algorithms
- Contributing to Open Source
- Exploring modern AI/ML workflows and deployment
- Preparing for internships and GSoC
- Become an AI Engineer / Machine Learning Engineer
- Build impactful AI-powered products
- Contribute to meaningful open-source projects
- Secure AI/ML internship opportunities
- Continuously improve as a software engineer
- Email: hari.ks.dev@gmail.com
- LinkedIn: linkedin.com/in/hari-krishnan-s1025
- GitHub: github.com/harix10