MSc Artificial Intelligence graduate specializing in Machine Learning and Natural Language Processing. Experienced in developing transformer-based models and deep learning solutions. Passionate about solving complex problems through data-driven approaches.
Grade: 8.3/10
MSc in Artificial Intelligence
Relevant Coursework: Machine Learning, Computer Vision, Deep Learning, Natural Language Processing
MSc Data Science & Artificial Intelligence (Distinction)
Key Subjects: Python Programming, Advanced Statistics, Machine Learning, Deep Learning & Neural Networks
Developed transformer-based NMT system for low-resource Indian languages using PyTorch and HuggingFace. Implemented transfer learning techniques to improve translation accuracy for Bodo, Dogri, Maithili, and Konkani languages.
Designed CNN architecture achieving 90% accuracy through hyperparameter optimization. Implemented custom layer combinations and regularization techniques.