Roshan is a motivated undergraduate specializing in Artificial Intelligence and Data Science. He possesses expertise in Computer Vision, Generative AI, and Natural Language Processing. He is actively seeking opportunities to apply his knowledge in real-world settings to contribute to AI and software development.
Experience
Machine Learning Intern
NIT Trichy
Engineered and implemented predictive models for car price detection using various algorithms including Linear Regression, Decision Tree, Random Forest, Ada Boost Regressor, Gradient Boost, and XGBoost, resulting in a 25% improvement in price prediction accuracy. Employed data visualization tools such as Matplotlib and Seaborn to analyze model accuracies and correlations among selected variables. Partnered with a team to tackle challenges in training Generative Adversarial Networks (GANs) for data augmentation, devising and implementing effective algorithms to overcome obstacles, resulting in a 30% reduction in training time. Designed and executed a Machine Learning Pipeline in Python using PyTorch and scikit-learn to detect image forgeries, employing computer vision techniques and neural networks to identify suspicious areas within images, resulting in a 40% increase in forgery detection accuracy.
Education
Saranathan College of Engineering
B. Tech
Artificial Intelligence and Data Science
Additional Courses: Machine Learning Specialization, Stanford University; Deep Learning Specialization, Deeplearning.ai