Harish Balaji is a Master’s student at New York University specializing in Artificial Intelligence, Machine Learning, and Cybersecurity. His academic and project work centers on developing scalable, privacy-preserving, and trustworthy AI systems. With a strong foundation in applied machine learning, Harish focuses on advancing data-centric AI through techniques such as dataset quality auditing, fairness evaluation, and risk-aware preprocessing for structured and multimodal data.

His research interests include privacy-enhancing technologies, reproducible ML workflows, and the integration of vision-language models for real-world inference pipelines. Harish is passionate about bridging systems-level efficiency with ethical AI design to build robust, interpretable, and deployment-ready ML infrastructure.