Product + Research

Defining how AI should behave across cultures

I build products that ship to millions and research how AI models treat people differently depending on who they're talking to. The two should never be separate.
Harvard MDE 2026 8+ years Product Management

About
The short version

I spent 8 years as a PM shipping products to tens of millions of users in Korea's fastest-moving tech companies. E-commerce at LG Fashion, fintech and government platforms at Toss, growth systems at 35M MAU scale.

Then I came to Harvard, started building ventures, and joined Scale AI, where I evaluated 45+ frontier models and experienced firsthand the gap between benchmarks and real user expectations. That led to Kairos: an evaluation framework for AI behavioral alignment across cultures.

Now I'm looking for the place where research about how AI should treat people becomes the product itself. Frontier AI labs. User-facing teams. The intersection of model behavior and real users.

52M
Citizens served through digital government platform
4
Ventures built at Harvard, deployed across 3 countries
50+
Cross-cultural user evaluations on AI model behavior
45+
Frontier models evaluated at Scale AI

Approach
How I work
01
"I start where the user is, not where the system is."
At LG Fashion, I sat in the call center for two years to see what users actually go through. That became 130 product fixes. At Toss, user interviews and behavioral data drove every growth experiment. At Scale AI, I looked past benchmarks to ask what real users experience. Kairos started the same way: not from model architecture, but from what 50+ users across three cultures actually expect.
LG Fashion call center Toss UT/IDI Scale AI Kairos 50+ users
02
"I move to where I don't belong."
Fashion e-commerce to fintech to government to AI. Each time, a domain I'd never worked in. At Toss, I deliberately rotated through public services, user growth, and investment, choosing unfamiliar territory each time. The pattern isn't restlessness. It's how I learn fastest and find what others miss.
4 domains 4 Toss silos 4 Harvard ventures
03
"I build to learn."
Four ventures at Harvard in two years across hardware, biotech, and AI. Thailand, India, Dubai, Germany. Not to build four companies, but to repeat 0-to-1 in different contexts until the pattern became clear: every domain has a version of the same question. Is the technology actually helping the person on the other side?
AIRQUA Thailand ChoLab India Medly US Kairos cross-cultural

Experience
Where I built things
2025
Scale AI
Researcher, Humanity's Last Exam
Analyzed behavioral patterns across 45+ frontier AI systems. Built structured taxonomy for evaluation and prioritization. Classified failure modes by type, complexity, and trigger conditions. A/B tested rubric formats for SFT annotation quality. Experienced firsthand the gap between benchmarks and real user expectations, which became the motivation for Kairos.
AI Research Model Evaluation
2024 - 2026
Harvard University
Master in Design Engineering
Built 4 ventures across hardware, biotech, and AI. Teaching Fellow for Product Management and HCI courses. Campus Ambassador for Anthropic Claude: organized 5 non-technical hackathons, industry-academy exchange sessions, and published guides on using Claude with non-technical students. Firsthand experience of how real students interact with and feel about AI. XR Club President (60 members, 600+ participant conference with Meta, Nvidia, Samsung).
Design Engineering Teaching Fellow Claude Ambassador
2020 - 2024
Toss (Viva Republica)
Lead Product Owner, promoted to Domain Leader
Korea's leading fintech platform. Joined at 300 employees, grew to 4,000. Promoted to youngest Domain Leader. Led vision, strategy, and roadmap across 5 product verticals and 50+ cross-functional teams. Drove 15M+ user inflow, improved MoM retention from 70% to 85% through behavioral cohort segmentation and rapid A/B experimentation. Digital Platform Government kickoff member: led digital government services for 52M citizens including tax payments, vaccine certification, and public document issuance. Ministerial Commendation under the Presidential Digital Platform Government initiative. Opened new revenue category through investment ad platform in regulatory sandbox.
Product Management Growth Government
2017 - 2020
LG Fashion (LF Corp)
E-Commerce Product Manager
Full-stack PM across 7-domain e-commerce platform: search/SEO, product discovery, checkout, payments, returns, customer service. 2-year call center embed: turned direct user pain into 130+ product fixes, reduced inquiry rate from 15% to 5%, generating ~$770K/month in savings. Launched Korea's first ML-based Virtual Fitting service end-to-end, coordinating with Berlin AI research team. Showcased at CES 2019.
Product Management ML/AI E-Commerce

Projects
What I built
Featured Research / Ongoing
Kairos
AI Evaluation Model Behavior Cross-Cultural
View details →
Hardware Venture
AIRQUA
Hardware Social Impact Thailand
View details →
Biotech Venture
ChoLab
Biotech Design Engineering India
View details →
AI Venture
Medly
AI Agent Healthcare 0 to 1
View details →
Live Experiment
Blooming
Model Behavior Playground GPT vs Claude
Try it live →

Recognition
Awards and honors
🏆
Harvard President's Innovation Challenge, 1st Place
Awarded by President Alan Garber
2024 · AIRQUA
🏆
Ministerial Commendation
Ministry of Interior and Safety, under Presidential Digital Platform Government
2022 · Toss
🏆
iF Design Award Gold
iF International Forum Design
2025 · ChoLab
Global Top 100 Prototype
Dubai Future Foundation
2025 · ChoLab
1st Place, Global AI Health-Tech Competition
MIT PathCheck Foundation
2024 · Medly
Harvard Innovation Lab Grant
Harvard i-lab
2024 · AIRQUA

Writing
Thinking out loud
I write about AI model behavior, cultural bias, and what it means for AI to treat people well. New posts every Monday on Substack.
The Question I Can't Stop Thinking About
Mar 9, 2026
The Question I Can't Stop Thinking About
Who decides what "helpful" means? From 8 years of growth PM to AI research, the question that connects everything.
Read More ↗
Neutral Isn't Neutral
Mar 7, 2026
Neutral Isn't Neutral
Sycophancy isn't a single message. It's a shift. And what counts as a shift depends on where you're from.
Read More ↗
Read all posts on Substack →

Contact
Let's talk

I'm always happy to talk about AI model behavior, user-facing product, AI safety, or just a scratch of a new idea. If any of that sounds interesting to you, reach out.