👋 Hi there, I’m Ikwhan Chang.
Building systems for a future powered by creativity and intelligence.

🎯 I specialize in machine learning infrastructure, backend systems, and scalable LLM-powered applications. Currently, I work at Google as a backend SWE.
🧠 I’m curious about the intersection of code, cognition, and creativity — how infrastructure can empower new forms of thinking, learning, and expression.
On weekends, I experiment with generative AI, audio synthesis, and music technologies.
Based in the Bay Area.
Korean-born. Future-focused.
Areas of Interest
- ML Model Serving / RAG Infra
- LLM-Powered Developer Tools
- Audio Signal Processing + AI Composition
- Minimalist Web Apps for Solo Builders
- Sustainable Tech Startups
- Synthesizer Design & Modular Systems
Past Work
Current Projects
- Personal Healthcare Data ETL & ML Pipeline (May 2020 ~ Present): An automatic data ETL pipeline getting user’s daily activities using Google Dataflow, Apache Beam, Python, and Jupyter Notebook
Upcoming Projects
- SendCode.to: a web-based code sendbox (like CoderPad)
Self-Directed Learning
- 10-601: Introduction to Machine Learning (CMU, http://www.cs.cmu.edu/~mgormley/courses/10601/schedule.html ) Fall 2021, Dec. 2021 ~ Present (Auditing, Re-taking)
- 11-785 Introduction to Deep Learning (CMU, https://deeplearning.cs.cmu.edu/F21/index.html) Fall 2021, Dec. 2021 ~ Present (Auditing)
- Machine Learning (Coursera) Jun. 2021 ~ Present
- Deep Learning Specialization (Coursera) Jun. 2021 ~ Present
- Big Data with MapReduce and Hadoop (Udemy) Jun. 2021 ~ Present
- CS246: Mining Massive Dataset (EDX & Stanford Univ. http://cs246.stanford.edu/ ) Dec. 2020 ~ Present
Past Self Learning
- The Complete Fluter Dev. Bootcamp (Udemy, Jun. 2021 ~ Aug. 2021, Certification)
- 10-601: Introduction to Machine Learning (Carnegie Mellon University, http://www.cs.cmu.edu/~mgormley/courses/10601/schedule.html ) Dec. 2020 ~ Jun. 2021 (Audited)
- Applied Machine Learning (Oct. 2020, Columbia University, Certitifcation)
- Google Cloud Platform Big Data and Machine Learning Fundamentals (2017, Coursera, Certification)
- Functional Programming Principles in Scala (2019, Coursera, Certification)