Showcasing my projects, technical expertise, and professional development
Hello! I'm Jackson (Jax) Hutton, a Computer Science student at Northeastern University's Khoury College of Computer Sciences. I'm pursuing a B.A. in Computer Science with a concentration in Systems and a minor in Chinese. My academic journey combines technical rigor with practical application, preparing me for challenges in software development and system architecture.
As Lead Developer at Spreads.com, I've spearheaded the development of a sports betting startup, managing system architecture and integrating cutting-edge technologies. Additionally, as the Co-Founder/CEO of The Gemstone Academy, I've designed and built web applications using Ruby on Rails with PostgreSQL, demonstrating my ability to create scalable solutions in real-world environments.
My portfolio showcases selected projects that highlight my technical capabilities and problem-solving approach across various domains of computer science and software development.
A complete emulation of the Intel 8080 microprocessor capable of running classic arcade games like Space Invaders. Developed using x86 Assembly and C with meticulous attention to processor architecture details. This project demonstrates low-level programming expertise, including memory management, CPU instruction implementation, and hardware interfaces.
An ongoing operating system development project built from scratch without relying on existing kernels. Starting from the bootloader using x86 Assembly and C to develop core functionality. This project showcases expertise in system architecture, memory management, and device drivers, with a focus on performance optimization and modern architecture support.
A successful Minecraft mod that simulates cognitive impairment effects through gameplay mechanics including a decreasing sanity meter, hallucinations (fake blocks, enemies, sounds), and unreliable UI elements. The mod gained significant attention on CurseForge, with all revenue being donated to the Alzheimer's Association.
A comprehensive analysis exploring how machine learning can be leveraged to detect fake news and misinformation online. This literature review synthesizes findings from 12 recent peer-reviewed studies (2020-2024) examining different technical approaches - from classical ensemble methods to deep learning frameworks and multimodal strategies. The review demonstrates my ability to critically evaluate complex technical research, identify emerging trends, and clearly communicate findings for both technical and non-technical audiences.
A Vox-style science explainer examining how machine learning systems can combat online misinformation. Published in Future Perfect, this article breaks down complex AI concepts for a general audience - from classical ensemble methods to cutting-edge deep learning approaches. Through clear explanations and real-world examples, I explore how researchers are developing automated tools to detect fake news, analyze multimodal content, and leverage social network signals.
A comprehensive professional correspondence portfolio centered around an interview request with Dr. Sinan Aral, a leading expert in misinformation and machine learning at MIT. The portfolio includes four strategic communications: an initial interview request demonstrating audience awareness and establishing credibility, a detailed follow-up with prepared interview questions, a professionally handled rescheduling request, and a thoughtful thank-you note.