🎓 Metallurgical & Materials Engineering Undergraduate at VNIT Nagpur
💻 Aspiring Software Engineer | Machine Learning Enthusiast | Competitive Programmer
I'm passionate about building intelligent systems, solving challenging problems, and applying data-driven approaches to real-world engineering applications. My interests span software development, machine learning, data analytics, and materials informatics. I enjoy exploring how AI can be leveraged to solve practical problems while continuously improving my problem-solving and programming skills.
- C++
- Python
- JavaScript
- SQL
- TensorFlow
- Keras
- Scikit-Learn
- Pandas
- NumPy
- Matplotlib
- Node.js
- Express.js
- MongoDB
- React.js (Learning)
- Git & GitHub
- Linux
- VS Code
- Jupyter Notebook
Designed and trained a Convolutional Neural Network to classify fracture surface images and identify fracture mechanisms. Focused on image preprocessing, model optimization, and performance evaluation.
Developing machine learning approaches to automatically identify conduction transport mechanisms such as Ohmic, Schottky, and Poole-Frenkel conduction from electrical characterization data.
- Actively practicing Data Structures and Algorithms
- Solving coding problems on LeetCode and other platforms
- Strengthening problem-solving skills through consistent practice
- Software Engineering
- Machine Learning & Deep Learning
- Data Analytics
- Materials Informatics
- Computer Vision
- Artificial Intelligence Applications
- Advanced Data Structures & Algorithms
- Full-Stack Development
- Machine Learning Deployment
- System Design Fundamentals
- Secure a Software Engineering / Data Analyst / ML-related role
- Strengthen expertise in Data Structures & Algorithms
- Build impactful real-world projects
- Contribute to open-source projects
- Continue exploring AI applications in engineering and industry
“You may encounter many defeats, but you must not be defeated.” — Maya Angelou