Hunjun Shin

Northeastern University

Expected Graduation: August 2026

Korea Military Academy (KMA)

National Institute for Lifelong Education

Relevant Courses: Network, OS, Data Structure, Computer Architecture, Java Programming

fMRI Political Extremism Pattern Analysis In Progress

Analyzing fMRI brain data to identify patterns of political extremism using machine learning classification techniques.

Gig Worker AI Upskilling Research

Investigated how gig workers leverage AI tools for skill development and career advancement in the platform economy.

VR Political Attitudes & Eye-tracking Analysis

Investigated VR's impact on political attitudes toward solitary confinement using eye-tracking and physiological measures (skin conductivity, heart rate). Supported by NULab Seedling Grant 2024-2025.

Instagram Multimodal Political Communication Analysis

Analyzed Instagram posts from U.S. politicians using multimodal deep learning to identify visual and verbal communication patterns across political parties. Supported by NULab Seedling Grant 2023-2024.

Project Page

Multimodal Hateful Meme Detection Published

Developed a multimodal classification framework using Graph Attention Networks to model cross-modal relationships between visual and textual components. Integrated VQA and image captioning for contextual understanding.

Publication: Hunjun Shin, Dhruv Agarwal, Wonhee Lee, Mahdi Imani, Naveen Naik Sapavath. "Multimodal Hateful Meme Detection with Graph Attention Networks and Contextual Cues," 2025 IEEE International Conference on AI and Data Analytics (ICAD), pp. 1-8, June 2025.

Paper

Research Assistant

Advisor: Dr. Savage Saiph

• Conducting research on how Gig Workers leverage AI for upskilling
• Developed LLM-based goal-setting and chat AI system (LikeLion 2025 Hackathon Top 12)

Research Assistant

Advisor: Professor Seo Eun Yang

• Analyzing social media images in political communication using multimodal deep learning
• Investigating VR's impact on political attitudes using eye-tracking and physiological data
• Conducting fMRI brain data analysis for political extremism pattern classification

Full Scholarship Recipient for National Defense Research

Awarded a full scholarship for studies and research in data science, funded by the Republic of Korea's Ministry of National Defense, with the goal of contributing to research and innovation upon return to the military.

Logistics and Supporting Department

Responsible for managing military supplies to maintain combat readiness.

Head of HR Department

Managed over 180 soldiers for salary, positions, and promotions.

Platoon Leader

Participated in urban operations, reconnaissance, and joint exercises with the US Army.

Reflecta: LLM Goal-Setting Chatbot

Developed an LLM-based goal-setting and conversational AI system. Achieved Top 12 in Like Lion 2025 Hackathon. CHI 2026 Poster submission planned.

Demo | GitHub

Personalized Recipe Generation with Reward Model

MLOps Final Project: Inventory-based personalized recipe generation using Llama 3.2 3B with LoRA fine-tuning. Generates multiple recipe candidates and uses reward model for user personalization. (In Progress)

GitHub

MNIST MLOps Pipeline with Automated Retraining

Complete MLOps pipeline for MNIST digit recognition with automated model retraining based on user feedback. Features interactive drawing canvas, real-time predictions, and continuous model improvement workflow.

Demo | GitHub

FullStackGPT

Built AI-powered web applications using LangChain including DocumentGPT (document Q&A with RAG), QuizGPT (automatic quiz generation), and PrivateGPT (local LLM for private document analysis).

GitHub

Job Board Project

Full-stack job board platform with job search, company profiles, and real-time recommendations. Features MySQL database integration with SQLAlchemy ORM and EDA/ML analysis.

GitHub

Ship Order Prediction

Used machine learning to predict likelihood of securing ship orders.

Improved Rifle Shooting Drills

Conducted feature importance analysis for rifle shooting accuracy improvement.