Artificial
Intelligence
Engineer.

I'm Guradesh Dhillon, a third-year Computer Engineering student specialising in AI & Data Science at SVPCET, Nagpur, with a 9.3 CGPA and a clear mission: to become an AI Engineer who builds systems that actually think. My work sits at the intersection of machine learning, data science, and real-world problem-solving. I've built end-to-end ML pipelines from a loan approval predictor using KNN, Logistic Regression, and Naive Bayes, to a customer segmentation engine leveraging KMeans clustering and PCA, and I approach every project with the same rigour: clean data, meaningful features, and models that hold up under evaluation. Beyond solo projects, I've validated my skills across industry simulations with BCG X, Tata, and British Airways through Forage, and earned Kaggle certifications spanning Machine Learning, Deep Learning, and Model Explainability. I'm currently deepening my hands-on experience through a Data Science & ML internship at UniConverge Tech.

I'm not just learning AI, I'm learning how to engineer it. From feature pipelines to model evaluation to deployment-ready thinking, I'm building the foundation to design AI systems that scale.

When I'm not training models, I lead technical operations as Event Technologist Head at ACM SVPCET because good engineering is as much about systems thinking as it is about code.