Jack Hogan

Background

About Jack Hogan

Graduating Purdue May 2026 and relocating to San Francisco in June*Computer Science and Artificial Intelligence double major with a minor in Mathematics at Purdue University Honors College, focused on developing intelligent systems that learn and adapt in complex, data-limited environments. Work spans machine learning research, GPU-based high-performance systems, and full-stack development across Rust, Python, and Swift.Experienced leading technical teams and developing production-ready solutions—from neural architectures that improved GNN task accuracy by 50% to real-time ML systems deployed on defense platforms. Passionate about deep/hierarchical reinforcement learning, reasoning, and robotics, with a goal of advancing scalable, impactful AI.Skills:Languages: Python, Rust, Swift, C++, Java, Kotlin, TypeScriptFrameworks: PyTorch, CUDA, Flask, Django, Actix Web, Spring BootFront-End: SvelteKit, React, SwiftUI, Jetpack ComposeSystems/Tools: Docker, AWS (EC2, ECS, S3), GStreamer, Systemd, LinuxAI/ML: Reinforcement Learning, GNNs, Low-Data Learning, Reasoning ModelsPortfolio: 80+ repositories on GitHub (github.com/ImTheSquid), including systems programming in Rust, AI/ML research prototypes, and open-source plugins with 135+ stars.Relevant Coursework: Statistical Machine Learning (Graduate Level), Deep Learning (Graduate Level), Analysis of Algorithms, Data Structures, Robotics, Abstract Algebra (Groups, Rings, Fields)**