About Me

Hi, I'm Anmol, an AI and Machine Learning enthusiast with a strong foundation in Computer Science and a passion for building intelligent systems that solve real-world problems. My interests span Machine Learning, Deep Learning, Computer Vision, and Multimodal AI, and I enjoy exploring both the theoretical concepts and their practical applications through research and development. I have worked on projects ranging from predictive machine learning models and numerical computing to research on overparameterized neural networks and the Double Descent phenomenon. I enjoy tackling challenging problems, experimenting with new ideas, and transforming research concepts into working implementations. Beyond technical work, I value continuous learning and knowledge sharing. Whether it's contributing to open-source projects, exploring cutting-edge AI research, or mentoring others, I believe the best way to grow is by constantly learning and building. I'm always excited to collaborate on impactful projects and explore the future of Artificial Intelligence.

My Projects

• Overparameterized Models and Double Descent

  Research project exploring the Double Descent phenomenon in deep neural networks. Conducted experiments on CIFAR-10 using ResNet and Vision Transformer architectures to study interpolation thresholds, generalization, and implicit regularization.

  View on GitHub →

• Employee Attrition Prediction

  Developed a machine learning model to predict employee attrition using the IBM HR Analytics dataset. Performed data preprocessing, feature engineering, handled class imbalance using SMOTE, and evaluated multiple models using ROC-AUC and other classification metrics.

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• Iterative Methods Efficiency

  Implemented and analyzed Jacobi and Gauss-Seidel iterative methods for solving linear systems. Compared convergence rates, computational complexity, and parallel implementations for improved performance.

  View on GitHub →

Contact

Email: anmolmittal@iisc.ac.in

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