I read the flow of work, data and people, and build the products and systems that make it better.
A full-stack software engineer across frontend, backend and data analysis, I connect people and technology to turn ideas into products that ship and operations that run on their own.
Make it possible. Make it better. Make it run on its own.
- Production AI, not demos: I ship LLM features that stay reliable and affordable in production, with deterministic cores, guardrails, observability and fixed cost budgets.
- Zero-to-one, end-to-end ownership: I take products from a blank page to production (spec, architecture, payments, infra, launch) in weeks, not quarters, with a product mindset that spans UI/UX, planning, project management and business strategy.
- Engineering that moves business metrics: My work is measured in outcomes: +33% conversion, −90% crashes, ~20 hrs/week of manual work eliminated.
- Range across the stack, at scale: Frontend, backend and data analysis, plus mobile, AI and systems-level C, shipped on platforms with millions of users and shaped by global engineering standards.
- Force multiplier for teams: I make teams better. I've trained 800+ developers, advised 6 startups through launch (6/6 shipped), and codified the standards others build on.
🤖 AI & Workflow Automation: from manual operations to self-running systems
- Designed and shipped end-to-end operations automation for a community platform (applications, screening, payment verification, SMS notifications, waitlists, cancellations) on an event-driven, serverless stack (webhooks, cron, Cloudflare Workers, Supabase). It eliminated ~20 hrs/week of manual work and freed the team to focus on core operations and revenue-generating business.
- Built and operate a bilingual (KO/EN) LLM consumer product. Its hybrid architecture pairs a deterministic engine with LLM generation and adds exactly-once generation, rate limiting and budget caps, keeping AI costs predictable at startup scale. Quality and growth are tracked through LLM observability (Langfuse), product analytics and automated KPI reporting.
- Codified engineering standards (code, testing, security, Git workflow) that are reused across projects so each launch goes faster and safer.
📈 Large-Scale & Global Products: millions of users, measurable growth
- Creator-economy platform (6.5M MAU): Improved app launch speed and rendering performance and re-architected the home experience with modular components, driving +33% purchase conversion. Redesigned real-time chat and comment data sync, cutting crashes by 90%.
- Led migration of native iOS and Android apps into a single React Native codebase with a cross-functional team, cutting duplicated engineering and shortening time-to-market.
- NASDAQ-listed global story-tech platform: As an iOS engineering intern, gained hands-on experience with global service development processes and learned global engineering standards.
🎓 Tech Education, Mentoring & Consulting: growing engineers and teams
- Designed a software programming curriculum for 800+ developers: VOD lectures, live sessions, assignments and reference code, algorithm study groups, code reviews and 1:1 mentoring. Programs reached 90%+ completion and 4.8/5 satisfaction.
- Built AI-assisted learning tools to visualize complex concepts (concurrency, algorithms) and used AI-driven static analysis to catch memory leaks and runtime errors.
- Served as technical advisor to 6 startup teams, covering PoC → architecture → development → code review → LLM prompting and integration → launch. All 6 shipped.
🧠 Open Source & CS Depth
- effective-swift (★265): Co-authored and reviewed an open-source study adapting Effective Java to Swift. This is where my CS fundamentals took shape (type systems, memory management, concurrency, error handling).
- wirelog: Through an open-source AI & software program, contributing to a C11 Datalog engine for program analysis and semantic reasoning, adding systems-level depth to my app and web experience.
- Curious, continuous learner: I adapt quickly and absorb new paradigms fast, from iOS to web, AI and C engines.
- Flow and data thinking: I analyze processes and data to propose better decisions, not just better code.
- Root cause first: I keep asking "why?" until the real problem shows up, then solve it at the root.
- Business × Design × Engineering: I can own all three myself, all-in-one, and on a team I translate between them so everyone moves in one direction.
- Reliable by design, left better: Deterministic cores, AI where it adds value, everything tested, observable and cost-aware. I leave docs, standards and automation behind, and I help people grow by making room to think.
AI: LLM integration (OpenAI, Claude) · AI agents · RAG · prompt engineering · LLM observability · cost optimization
Engineering: frontend · backend · data analysis · system design · API integration · event-driven automation · data pipelines · CI/CD · i18n
Building toward products used around the world: production-grade AI agents & automation · data pipelines & analytics · software engineering · developer education & mentoring.
