cv
General Information
| Full Name | Jehyeok Yeon |
| Date of Birth | 16th October 2003 |
| Languages | English, Korean |
| Contact | tommy8289@gmail.com |
| https://www.linkedin.com/in/jehyeoky | |
| Programming Languages | Python, C++, SQL, Java, HTML/CSS/JavaScript, C# |
| Frameworks and Tools | React, LangChain, ElasticSearch, PyTorch, OpenCV, TensorFlow, Flask, Django, Git, Docker, Streamlit, MySQL, Google Cloud Platform, RESTful APIs |
Education
-
2022-2025 B.S. in Computer Science + Linguistics
University of Illinois Urbana-Champaign - GPA - 3.9
- Dean's List
- Clubs
- Codable (President), ACM, Project Code
- Coursework
- Data Structures, Computational Linguistics, Corpus Linguistics, Database Systems, Digital Signal Processing, Computer Systems, Senior Project, Statistics and Probability I, Discrete Structures, Algorithms, Programming Languages and Compilers, Applied Machine Learning, Data Mining
Relevant Experience
-
2024-current Research Assistant
FOCAL Lab@UIUC - Conducting in-depth research on the impact of demographic and social biases in agentic AI systems deployed on web-based graphical user interfaces (GUIs).
- Designing and executing experiments to uncover and optimize potential avenues for adversarial exploitation.
-
2024-current Research Assistant
UDL and Accessibility Research Group - Evaluating effectiveness leadership and organizational theories in enhancing collaboration and performance of multi-agent AI frameworks under adversarial conditions.
- Analyzing AI agents' ability to detect and mitigate subtle malicious injections by integrating human-inspired leadership dynamics.
-
2024-2024 AI Data Scientist Intern
Hanwha Life Insurance - Developed a full-stack chatbot application specializing in insurance domain using ElasticSearch, Langchain, LlamaIndex, and Streamlit, implementing a hybrid retriever that improved standard models by 427%.
- Optimized query performance and accuracy by implementing advanced RAG strategies including reranking, query defragmentation, and Hypothetical Document Embeddings (HyDE).
-
2023-2024 Machine Learning Intern
ATLAS - Developed predictive machine learning models using PyTorch and scikit-learn, achieving 82% accuracy in trend analysis of Chicago weather sensor data, enabling more precise urban climate monitoring.
- Processed over 100,000 rows of Canadian agriculture data to analyze temporal conditions' impact on wheat yield, contributing to improved crop management strategies.
-
2023-2024 Computational Research Assistant
Political Ideology and Entrepreneurship Lab - Engineered automated Python tools for collecting, quantifying, and analyzing data related to political ideology of CEOs and their respective earnings reports.
- Conducted longitudinal research to quantify the political ideology of CEOs using publicly available data.
- Developed and applied novel algorithms to classify CEOs along the changes in political spectrum over time.
- Presented research findings as a poster presentation at the Undergraduate Research Symposium.
-
2023-2024 Data Analyst
University of Illinois Urbana-Champaign, Illinois Leadership Center - Conducts data analysis using Excel and Tableau to extract actionable insights.
- Produces data reports, visualizations, and presentations for ILC workshops and programs.
Relevant Projects
-
Current Deetox
- Developing a mobile app promoting intellectual growth and digital detox through curated lessons in philosophy, art, music, and literature.
- Delivering a seamless cross-platform experience using Flutter (iOS/Android) and Firebase for real-time data synchronization and user authentication.
- Automating daily lesson generation with large language models (LLMs), optimizing content generation workflows.
-
2024-2024 Workout Planner Application (Eclipse)
- Developed a full-stack workout planning application using React, Node.js, and MySQL, deployed on Google Cloud Platform with RESTful APIs for efficient data communication.
- Implemented comprehensive CRUD operations for workout routines, exercises, diets, and user profiles, ensuring seamless data management and real-time synchronization.
-
2024-2024 ClassTranscribe
- Engineered React components and C# .NET Core backend services to enhance accessibility for visually impaired students.
- Implemented full-stack solutions to transform lecture videos into accessible, picture book-style content, enhancing user experience for visually impaired students.
-
2023-2024 ESL Learning Hub Web App (Grammaraide)
- Designed and implemented a Flask-based web application with responsive frontend using HTML5, CSS3, and JavaScript to enhance ESL students' reading comprehension and grammar proficiency.
- Integrated advanced NLP methods and LLM pipeline to generate personalized, contextually relevant quizzes and exercises, catering to various ESL proficiency levels.
-
2023-2023 Note Generation Chrome Extension
- Developed a Chrome extension utilizing Flask backend and JavaScript frontend, integrating the open-source LLM Mixtral and OpenAI's wav2vec 2.0 speech-to-text model.
- Achieved 85% accuracy in automated note generation from YouTube videos and audio files, enhancing user productivity by over 10 hours per week.
-
2022-2023 Chopstick 101
- Used TensorFlow and OpenCV to develop a machine learning program that analyzes and rates real-time chopstick holding positions applying LSTM on the hand landmark positions.