Yonathan Daniel is a Graduate Coach with InGenius Prep who has an elite technical background that bridges the gap between high-performance hardware systems and cutting-edge artificial intelligence. A graduate of Columbia University, he earned his Master’s in Computer Science with a specialization in natural language processing (NLP), machine learning, and large-scale data systems. He laid his technical foundation at The Pennsylvania State University, where he studied Computer Engineering with a focus on systems programming and architecture.
Yonathan’s professional career is marked by his ability to build production-grade, scalable infrastructure. As a Software Engineer at Another, he led the end-to-end development of custom analytics tools, replacing third-party dependencies with high-performance in-house dashboards. His expertise extends to modern cloud architectures, where he has designed serverless automation pipelines and implemented complex payment systems.
An innovator in the AI space, Yonathan has developed advanced systems such as an AI-driven command-line assistant and high-performance web applications leveraging WebAssembly and GPU acceleration. As a Graduate Coach, his technical breadth—spanning from low-level algorithm design to modern AI frameworks—allows him to help students navigate the most rigorous STEM pathways, providing them with the practical and theoretical insights needed for success in the tech industry.
