Welcome to my GitHub! I'm a M.S. Computer Science student at Seattle University with a background in Civil Engineering. My journey from civil engineering to software development has equipped me with strong analytical and problem-solving skills, which I apply to building efficient and scalable software solutions. I am passionate about distributed systems, machine learning, full-stack development, and algorithmic problem-solving.

• 🎓 Education:

  • M.S. in Computer Science - Seattle University (2023 - 2025)
  • Certificate in Computer Science Fundamentals - Seattle University (2022 - 2023)
  • M.S. in Civil Engineering - Washington State University (2018 - 2021)
  • B.S. in Civil Engineering - Washington State University (2014 - 2018)

• 💼 Experience:

  • Cofounder @ OLD SERPENT STUDIO (2011 - 2013) - Developed iOS/Android applications.
  • Research & Teaching Assistant @ Washington State University (2018 - 2019) - Conducted research on pavement maintenance and improvement, collaborated on an Amazon-funded project.
  • Intern & Development Assistant @ MIDAS IT (2009 - 2011) - Debugged and maintained visual analysis software.

• 🏆 Achievements:

  • Award from the Minister of Ministry of Knowledge and Economy, South Korea (2010) for innovation in structural concrete design.
  • Washington Pavement Association (WAPA) Scholarship recipient (2018 & 2020).

• Programming Languages: C++, Java, Python, C#, SQL
• Full-Stack Development: MERN Stack (MongoDB, Express.js, React.js, Node.js), ASP.NET Core MVC
• Machine Learning: scikit-learn, BFS & DFS search algorithms
• Databases: SQL, NoSQL
• Distributed Systems: Chord DHT, Bellman-Ford Algorithm for arbitrage detection
• Other Tools: ArcGIS, AutoDesk (Revit, Civil 3D)

• Implemented a Chord Distributed Hash Table (DHT) for scalable peer-to-peer data storage.
• Developed an arbitrage detection system using Bellman-Ford Algorithm for real-time forex data.

• Developed an emotion detection system leveraging BFS and DFS for efficient data structuring.
• Used scikit-learn for data preprocessing and model training.

• Developed a web-based application to solve real-world challenges in Snohomish County.
• Implemented a MERN stack solution with robust database integration.
• Followed Agile methodology for iterative development.

• Built a web application using Microsoft ASP.NET Core MVC and Blazor.
• Integrated C#, HTML, and CSS for a dynamic UI experience.

• Designed and implemented the game using Entity Component System (ECS) architecture.
• Visualized with SFML for an interactive experience.

• Code Smell Detection
• Tokenization and AST(Abstact Syntax Tree)
• Semantic Duplicated Code detection

• "Bio-Based Renewable Additives for Anti-Icing Applications (Phase II)" - Transportation Research Board (2019).
• "Patching Potholes Using a Half-Warm Mix 1 Asphalt Produced by 100% RAP and Waste Cooking Oil-Based Biobinder" - TRB (2019).
• "Laboratory and Field Patching Performance of a Half-Warm Mix Using Waste Cooking Oil–Based Biobinder with Reclaimed Asphalt Pavement" - Journal of Transportation Engineering (2021).

• Email: toh3@seattleu.edu | dadakil83@gmail.com
• LinkedIn: https://www.linkedin.com/in/taekil-oh-657124117/
• GitHub: https://github.com/Taekil

⚡ Fun Fact: I transitioned from Civil Engineering to Computer Science, combining my problem-solving expertise with software development to create impactful solutions! 🚀