Gen AI Product Growth
At Scale AI, I specialize in human-in-the-loop evaluation for generative AI models like GPT, Gemini, and Grok. I investigate how each model interprets prompts and iteratively refines its chain-of-thought reasoning. By intentionally testing edge cases and failure modes, I shape model behavior and inform improvements across product iterations.
This role has deepened my backend understanding of how large language models operate and positioned me at the intersection of product growth, research, and AI alignment.
Growth Domain Leader
Senior Product Owner
Product Owner
Over 4 years at Toss, I led high-impact fintech products from concept to launch, driving product-market fit and sustainable user growth. As Growth Domain Lead, I managed 50+ cross-functional teammates and drove a 10M+ MAU increase.
From 0-to-1 experiments to scalable platform growth, I honed my expertise in Go-To-Market strategy and built a data-informed, fast-iteration culture—powering Korea's leading fintech product in a hyper-competitive market.
Product Leader
As a technical advisor to the President, I digitized legacy government services, building national-scale products used by over 40 million citizens. I designed Korea's first blockchain-certified document service, cutting issuance time from 30 days to 10 seconds, and restructured the national tax notification process—reducing late payments and generating $4.5M/month in new revenue via a frictionless UX.
These experiences taught me how to build responsible tech at scale, and how to navigate policy, bureaucracy, and public trust with clarity and precision.
Product Manager
At LG, I led cross-channel product development in e-commerce and payment systems, improving checkout conversion by 5% and driving $1M+/month in additional sales.
I also bridged offline SCM with real-time online tools, designed backend payment architecture, and worked closely with dev teams on system prototyping and deployment. These years taught me how to think in systems, quantify success, and balance business and engineering trade-offs.
AIRQUA Cofounder
AIRQUA is a disaster-relief water generator designed for low-literacy users. I led 50+ user interviews and 30+ hardware iterations to design a scalable, intuitive solution.
The project won Harvard's highest innovation honor—personally awarded by President Alan Garber. This experience reinforced my belief that the most impactful technology isn't the most complex, but the most accessible.
As a missionary to democratize technology for this planet, I dedicated as an ambassador of Anthropic. At Anthropic and Harvard, I organized 5 times of non-technician hackathon, industry - academy exchange session, and publish how to leverage Claude for non-technician students. :)
To expand AR / XR role, connect technologies to people, I led Harvard XR student club with 80 following students. More that 600 participant and 30 leading companies including Meta, Nvidia, Samsung, and others attended as a speaker and sponsor.
By using multimodal AI (voice, image, video, agent) I built app, Medly-personal AI agent. To tackle gap between overwhelming information and user, this healthtech app prevent chemical interaction which might leads severe health accident. Fund-raised as a stealth startup.
To prevent community-level of waterborne disease in South Asia region, we conducted 50+ stakeholders, developed working prototype advised by WHO, Gates Foundation, UNDP. This product was 10% of price of existed solution and 30 times faster than existed solution.
To save lives in developing countries, we developed AIRQUA, generating water from the air by using AWG technology. This project awarded by Harvard President Alan Garber as a recognition of Social Impact.
Writing about AI, product management, and human-centered design to share insights and connect with the community.