About me

I'm Seokhyeon Bae, a multi-disciplinary developer and data-driven thinker currently pursuing triple majors in Economics, Computer Science, and General Mathematics. I have experience building full-stack web applications, designing user-friendly interfaces, and analyzing real-world problems using data.

My goal is to create meaningful digital solutions that are not only functional but also elegant and accessible. Whether it’s crafting intuitive front-end experiences, developing intelligent backend systems, or deriving insights through data, I always bring a problem-solving mindset to the table. I'm currently building intelligent systems and trading strategies, and actively contributing to open source and university-level research projects.

What I'm doing

  • dev icon

    Web Development

    Building responsive, accessible, and elegant web applications using modern frameworks like React.js, Next.js, and MongoDB.

  • ML icon

    Machine Learning & Data Analysis

    Applying ML models and statistical tools to real-world data including economics and finance using Python, Stata, and Scikit-learn.

  • research icon

    Academic Research

    Conducting research on economic modeling, generative AI reliability, and autonomous systems at the university level.

  • project icon

    Creative Projects

    Leading and collaborating on hackathon teams, fintech apps, and trading algorithm design with real-world deployment goals.

Daniel lewis
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Daniel lewis

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Resume

Education

  1. Pennsylvania State University

    Expected Graduation: Jan 2027

    Triple Major in Economics, Computer Science, and General Mathematics. Focused on Machine Learning/AI, Quantitative Finance, Data Science, and Web/app Development

Experience

  1. Research Assistant - Generative AI

    2024 — 2025

    Collaborating with Prof. Wenpeng Yin to analyze and resolve faulty outputs in generative language models.

  2. Autonomous Vehicle Development (Advanced Vehicle Team)

    2024 — 2025

    Safety, Innovation, and Testing team member in a 5-year project sponsored by Ford and GM; reviewed and tested perception code for autonomous systems.

  3. Research Assistant (REU Program) - Department of Economics

    2024 — 2024

    Assited professor with Data Anaylsis and Data Cleaning for Research on Standard Setting Organization.

  4. Peer Learning Assistant

    2022 — 2025

    Supported students in Macroeconomics and Calculus courses; coordinated feedback sessions with professors to improve teaching strategies.

  5. Military Service – Republic of Korea Army

    2020 — 2022

    Reconnaissance Squad Leader at the DMZ. Managed team morale and operational security; used Python tools for surveillance.

My Skills

  • Python / Pandas / NumPy
    80%
  • Machine Learning (Scikit-learn, PyTorch)
    90%
  • Full-Stack Web (HTML, CSS, JS, React, Firebase)
    80%
  • Stata / Econometrics / Statistics
    90%

Hobby

I'm passionate about music, film, and literature. I enjoy playing piano, guitar, bass, and drums. In my free time, I love watching movies and reading thought-provoking books. Here's a glimpse into the hobbies that inspire me the most.

Piano Performance

[ Video or Audio Placeholder ]

I’ll share recordings or videos of my piano performances here in the future.

Movie Recommendation

Allied

Allied

A gripping WWII romance thriller with stunning visuals and emotional depth.

You Are the Apple of My Eye

You Are the Apple of My Eye

A nostalgic Taiwanese coming-of-age story that captures youth and first love beautifully.

Book Recommendation

Thinking Fast and Slow

Thinking, Fast and Slow

Daniel Kahneman’s groundbreaking book that explores the dual systems of the human mind — fast, intuitive thinking and slow, logical thinking.

The 48 Laws of Power

The 48 Laws of Power

Robert Greene’s classic that dissects historical and psychological strategies for understanding and wielding power in society.

Contact

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