Yug Dave

Background

About Yug Dave

Yug Dave is a Machine Learning and Data Science professional with a solid foundation in AI engineering, software development, and cloud-based ML deployment. Currently pursuing his Master’s in Information and Data Science at the University of Texas at Austin (GPA 4.00), Yug combines academic rigor with real-world experience gained through internships at ThirdAI, Learnquest, and IC2 Institute. He has engineered scalable ML pipelines using PyTorch, Hugging Face, and XGBoost, and built end-to-end systems for tasks ranging from document ingestion and semantic search to synthetic data generation and social network analysis. His technical toolkit spans Python, Java, SQL, and R, with hands-on experience in cloud platforms such as AWS, Azure, and GCP. Yug’s passion lies in transforming data into intelligent systems that drive insight, automation, and impact. He is currently open to full-time opportunities in Machine Learning Engineering, AI Engineering, Software Engineering (ML), and Data Science.