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I build systems where AI, data, and product execution converge - from studying data infrastructure at ucsd to rebuilding automotive aftermarket Ops from the ground up with GenAI
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"The Power of Record-Keeping" — every decision I make starts w/ understanding system.
Email [email protected]
Mobile +1 858-531-9935
**LinkedIn GitHub Math-CS** @ UCSD
instagram.com/yzylifehttps://yewon-h-ddf1f7.netlify.app/
I started by learning how data systems actually work — not from a textbook, but by building them. A summer program in Big data Infra, Software Engineering Intern at Fasoo, personal projects in Flutter and C++: Act 1 was about understanding systems from the inside.
Then I got curious about where AI was going to matter. I spent time deep in the research - GAN·VAE architectures, LLM quantization, full B2B SaaS landscape analysis - while simultnsly testing ideas in real world: startup pitch circuit with Betcha, 2nd-place hackathon w/ Hyundai Cradle, first exhibition at CES 2024 with Grinda AI. (AI Start-up)
At NAVER Cloud, I got inside the machine — working on HyperCLOVA X as a Backend/AI Developer - Tech PM, which showed me what it actually takes to ship AI products at scale.
Now at HL Mando Aftermarket North America, I own the Full stack: Data architectr, Automation pipelines, and GenAI validation for global product catalog. The result: 40%+ reduction in missing attributes, 10-15 hours saved weekly through automation, and return to the global stage at CES 2025 w/ Hyundai MOBIS.
Every chapter follows the same pattern: understand the system deeply, then build something that makes it work better.
Overview