Resume / Portfolio

KO

Nayoung Seong

Problem Solver with AI & Web

Software engineer at an AI-native software startup. I gather requirements directly from clients, then plan, design, build, and operate the product.

ny.seong.dev@gmail.com | GitHub | LinkedIn | Blog

Experience

NURIE AI

Software EngineerMar 2025 – Present

BriefingHub

Planning, design, frontendJun 2025 – Present

Platform for AI keyword news analysis and brand AEO/GEO (Answer & Generative Engine Optimization) monitoring.

Next.jsReactTypeScriptTailwind CSSTanStack QueryZustandnext-intlGCP
  • Delivered the platform from planning through operation, landing a major Korean insurer as an enterprise client.
  • Reduced time to first result by 80% by proposing and shipping SSE streaming for AI analysis results, replacing a long blocking spinner with progressive rendering.
  • Built the chart APIs and dashboard behind AEO/GEO monitoring, extracting source characteristics, brand sentiment, and brand attributes from LLM responses and visualizing them.
  • Cut redundant news API calls 7 → 3 by moving server state off a Zustand/useEffect fetch layer onto TanStack Query.
  • Raised Lighthouse Performance +28 by splitting dynamic imports and flattening the loading UI's DOM after profiling bottlenecks in the initial render.
  • Lowered operating cost by moving temporary data cleanup from a scheduler to GCP Firestore TTL.

BriefingHub Extension

Planning, design, developmentJun 2025 – Present

Chrome extension dashboard for monitoring engagement on social media posts.

ReactTypeScriptChrome Extension MV3ViteTailwind CSSRechartsCheerio
  • Ensured scraping continued in inactive tabs by diagnosing how Visibility and Freeze states limit DOM loading in background tabs with chrome://discards and rebuilding the pipeline around them.
  • Eliminated data loss from Chrome's tab discarding and Service Worker termination by backing state up to chrome.storage and restoring it automatically.
  • Migrated scraper triggering from a Pub/Sub broadcast that fired at every scraper each cycle to a Scheduler, so each runs on its own interval without redundant events.

Side Projects

AEIO Official Website

Planning, frontendMay 2026 – Aug 2026

Marketing site for AEIO, a facial exercise app with real-time AI feedback.

Next.jsTypeScriptTailwind CSSGSAPFramer MotionThree.jsNotion APIVercel
  • Cut image transfer 83% and resolved HEIC rendering errors by parsing file headers inside an image proxy, working around the Notion API's missing image metadata.
  • Developed the landing hero's 3D object motion and hover interactions in Three.js.
  • Refactored custom easing functions and timing constants into GSAP Timeline sequences for maintainability.

baby24

Planning, Flutter app, signaling serverJan 2025 – May 2025

Infant sleep monitor designed for accessibility, with AI crisis detection so caregivers with disabilities can watch their baby's sleep from a phone. Google Solution Challenge 2025 entry.

FlutterNode.jsSocket.IOWebRTCVertex AI
  • Designed the WebRTC P2P live video pipeline and built the Flutter app.
  • Stabilized connections by rebuilding signaling on a Socket.IO server after Firebase Realtime DB signaling caused Offer/Answer sync delays and conflicts.
  • Tuned a face detection model on Vertex AI and designed the crisis alert pipeline.

ai-pass

Planning, frontendSep 2023 – Dec 2024

Real-time passport photo compliance checker with live AI feedback, built to outperform the online photo validator run by Korea's Ministry of Foreign Affairs.

ReactTypeScriptSocket.IOContext APIstyled-componentsTurborepoVercelGitHub Actions
  • Achieved 20% higher accuracy than the Ministry of Foreign Affairs validator across 50 test photos, cutting a check that previously required a visit to a district office down to 8–10 seconds at home.
  • Implemented sub-second real-time frame streaming to the server over Socket.IO.
  • Resolved 414 errors by moving Base64 payloads out of the URL into Body/FormData.

Activities

Google Developer Groups on Campus Soongsil

AI/ML member (3rd cohort), DevRel (4th cohort)Sep 2023 – Sep 2025

  • Shipped the Member page on the official site and designed the CMS for member data on Next.js + Notion API.
  • Planned and ran study groups (NLP, Technical English) and community seminars.
  • Expanded from frontend into backend and infrastructure through full-stack and CS study groups and Google Cloud Skills Boost.
  • Solution Challenge: planned and built services addressing UN SDG problems; entered 2024 and 2025.

Mirae Asset Foundation Global Exchange Scholarship

30th cohortApr 2024 – Aug 2024

  • Full scholarship from a major Korean corporate foundation for a semester abroad at TU Braunschweig.
  • Shared insights on adopting AI at the scholar network meetup and wrote an essay on the exchange.

Skills

Technology

  • Core: Next.js, React, TypeScript
  • State & Data: TanStack Query, Zustand, Context API, REST API, Chrome Storage API
  • AI: LLM fine-tuning (OpenAI, Vertex AI), prompt engineering
  • UI & UX: Figma, Tailwind CSS, styled-components, PostCSS, next-intl, react-hook-form, Recharts, react-word-cloud
  • Auth & Payment: JWT, OAuth (Google), Payple (Korean payment gateway)
  • DevOps: GitHub Actions (CI/CD)
  • Currently learning: Node.js, AWS

Product Execution

  • I weigh technology, user experience, and business context together when I build.
  • I do the user's job myself to find the friction firsthand, then turn it into requirements.
  • I validate improvements as quick prototypes built with AI, and schedule the real work once metrics confirm the effect.
  • I use AI to get up to speed on unfamiliar territory fast, so a domain I haven't worked in doesn't stop me from taking the problem.
  • I back feature proposals with research on comparable products.

Communication

  • I share new ideas as written docs with Figma mockups and API data structures.
  • I ask questions with the situation, goal, hypothesis, and what I already tried.
  • I give designers implementation constraints alongside screen and UX context.

Certifications & Awards

Awards

Certifications

Education

Soongsil University

Seoul, South Korea

Mar 2020 – Feb 2026

B.S. in Software · Interdisciplinary major: Big Data

GPA 3.97 / 4.5

Technical University of Braunschweig

Braunschweig, Germany

Apr 2024 – Aug 2024

Exchange semester : Informatik (Computer Science), Bachelor

Grade 2.35 (1.0 = best, 5.0 = fail)

  • Introduction to Machine Learning
  • Pattern Recognition (Master's)
  • Collaborated on coursework with students from several countries

University of Southern California

Los Angeles, CA, U.S.

Jul 2023

SW Summit Camp global program hosted with Soongsil's Spartan Education Center

  • Data Science & Artificial Intelligence
  • Southern California Korean American Software Pioneer Hackathon