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Sanghyeon Shin · Service Planning · PMa91945840@gmail.com
Portrait of Sanghyeon Shin

A service planner who finds the answer in what users actually do, then builds and ships.

As a LIKELION intern, I planned and ran a community platform for 80 universities and took a 2,500-person national hackathon from planning through the finals. With a limited ops team, I built automation tools myself and put them to work where the bottlenecks were: participant inquiries, checking 562 submitted repos, and tallying the finals.

Beyond that, over two years I've built, shipped, and run 15+ services myself, from screens to backend and AI tooling, and learned that what makes a plan convincing isn't the finished screen, but what I decided about the user and on what evidence. Next, I want to make the next decision from the data users leave behind, and check that decision with users again.

hackathon participants
2,500
universities — community platform
80
services planned & shipped
15+
awards
11

Profile.

  • EducationHankuk University of Foreign Studies (HUFS)Global Business & Technology / Software & AI Track (Double Major) · GPA 4.14 / 4.5 · Graduated2020.03 – 2026.02
  • TrainingSSAFY 15th Cohort · Non-CS Java Track (Left Early)Samsung SW·AI Academy For Youth2026.01 – 2026.04
  • CertificationsSQL Developer (SQLD)Korea Data Agency2024.06
  • Advanced Data Analytics Semi-Professional (ADsP)Korea Data Agency2025.09
  • OPIc IHACTFL2025.10
  • MilitaryROK Army, Sergeant, Honorable Discharge2021.10 – 2023.04

What I do.

How I work.

  1. 01

    I find the problem in what users actually do.

    I start by watching how users and operators really move, and I re-check common assumptions against data. The point where people keep getting stuck becomes the problem the product has to solve.

  2. 02

    I turn that problem into a flow and rules, and build it myself.

    I design the user flow and the policy, and when needed I build it myself, from the screens to the backend and AI tooling, so it becomes a product that actually runs. Being able to check that it works as planned cuts the communication cost between planning and development.

  3. 03

    After launch, I watch users and fix it again.

    Launch is where user data starts coming in. I run the product where it's actually used and feed the questions and problems back into it.

See how the three steps played out in the projects

Changes I can prove in numbers

Only what actually changed in operations.

01OPERATIONAL IMPACT

  1. 3 hrs/day15 min/day (−92%)

    Participant inquiries

    The FAQ bot answered 80.8% of inquiries instantly by keyword, and the staff spent 15 minutes a day reviewing the bot log and filling in missing answers.

    Basis: one month after the FAQ bot · 229 questions · 0 unanswered · staff time includes log review and answer updates · 14th hackathon

  2. Manual check of 562 reposOne full scan

    Submission checks

    Post-deadline commits, force-pushes, and private flips were detected automatically across every branch, and the staff made the verdicts against criteria agreed before the scan.

    Basis: after the 314-team deadline · 5 violations found · 14th hackathon

  3. Tally, then PPTOn screen as votes land

    Finals results reveal

    Judges' votes gathered in a console I built and reached the stage screen in 2.2 seconds.

    Basis: 8-team finals tournament · measured · 14th hackathon

  4. Paper roll callQR scan, auto-logged

    13th cohort session attendance

    Staff put up a QR code, members scan it on their phones, it's recorded on the server instantly, lateness is judged automatically at the 20-minute mark, and only late or absent members show up on the roll.

    Basis: 45 members of HUFS LIKELION's 13th cohort · WelcomeKit PWA

02SCALE

Students on the community platform
2,500+
80 universities
14th hackathon submissions
314 teams
8-team finals tournament
National ideathon participants
1,822
378 projects (incl. late submissions) · 470 satisfaction responses analyzed

Where I've worked.

Apr 27, 2026 – Aug 31, 2026Main role

LIKELION

Community Manager Intern · Univ. Group, Univ. Team 1

  • Managed 2,500+ students across 80 universities and planned and ran the community platform (opens in a new tab) — designed and QA'd 3 event detail pages so hackathon and ideathon registration ran through the platform, proposed back-office features and fixes, wrote the national hackathon feature spec
  • Planned platform features for the student-run inter-university hackathon — 4-level permission isolation, automatic school verification, time-based automation policy; specified 26 pages across 10 feature areas and handed off to dev and design
  • Planned and ran the 14th national hackathon (80 universities, 2,500 participants) through the finals
  • Took part in the national ideathon (1,822 participants · 378 projects, including late submissions accepted after the deadline) from planning through operations — scoring automation sheet and a 470-response satisfaction report
  • Planned, built, and taught a 6-session internal dev course for non-developers — 5/5 satisfaction from every attendee
  1. Jan 2026 – Apr 2026

    15th Cohort (Left Early)

    SSAFY (Samsung SW·AI Academy For Youth)

    Studied algorithms, data structures, and Java backend development in the Non-CS Java track; left in April 2026 to join LIKELION as an intern

  2. Jan 2025 – Dec 2025

    13th Cohort Staff

    HUFS LIKELION

    Planned and led educational sessions; managed students and lecture progress for the 13th cohort

  3. Mar 2025 – Nov 2025

    Coding Education Volunteer

    Pungsaeng High School

    Taught frontend and planning: HTML, CSS, JS, React, Figma, Notion

Selected work.

Selected projects where I found the user's problem and built the answer myself. The reasoning behind each decision is on its project page.

  1. 01Completed · Finals Aug 2026

    LIKELION 14th Hackathon

    LIKELION Internship · 14th Hackathon · Jun – Aug 2026

    LIKELION's 14th national hackathon 'ANIMAL LEAGUE', with 2,500 participants from 80 universities, run from planning through the finals

    DecisionI had the judging criteria agreed before the scan, and designed the checking tool to produce only evidence.

    Key impact

    participant inquiries · 80.8% of 229 answered instantly · none unanswered
    3 hrs/dayto15 min/day
    finals reveal · 2.2 s from vote to stage screen
    Tally, then PPTtoOn screen as votes land
    submission checks · 5 violating teams caught
    Manual checkstoOne full scan
    Role
    Community Manager Intern · Planning & Ops
    View project: LIKELION 14th Hackathon
  2. 02Award · 5th of 110

    FlowPay

    B2B Fintech · FIN:NECT Challenge · Jun – Aug 2025

    A B2B prototype that automates anonymous corporate-card spending from payment to expense report

    DecisionAccounting needs to know who spent, not their real name, so I identified payers with a pseudonymous token.

    Key impact

    corporate-card reconciliation steps
    8 stepsto3 steps
    expense report writing
    20 min eachtoAutomatic
    FIN:NECT Challenge, Encouragement Prize
    5th of 110
    Role
    PM · Frontend · IR
    View project: FlowPay
  3. 032nd round · top 12% of 247

    Y:Wave

    LIKELION 13th Hackathon · Jul – Aug 2025

    A service that analyzes 390K Gyeonggi local-currency merchants and recommends them by location and spending category

    Decision53% of respondents said merchants were hard to find (27%) or too few (26%), so I moved the main screen from a map to a recommendation list.

    Key impact

    finding a merchant
    Searching the maptoRecommended by place & category
    evidence · Gyeonggi merchants · 53% in our survey (hard to find 27% + too few 26%)
    All 390K analyzed
    LIKELION 13th hackathon · 2nd round
    Top 12% of 247
    Role
    PM · Frontend · Design (team of 6)
    View project: Y:Wave
  4. 04Client project · Completed

    CleanB

    Client Project · RumiClean · Nov 2025 – completed

    RumiClean, a cleaning-matching service connecting Airbnb hosts and cleaners (client project)

    DecisionDisputes stop only when the completion standard lives inside the service, so I made five before-and-after photos the condition for completion.

    Key impact

    completion proof · before/after photos
    5 photos
    job flow the cleaner screens were derived from
    5 states
    planning through deployment · wrapped before payments
    Delivered
    Role
    PM · Frontend · Design (team of 3)
    View project: CleanB
See all 19 projects

Awards.

11

Competition awards

Top award per project

  1. 2025.11KIITI Winter Conference Idea/App Contest — Excellence Award (SonGeul)KIITI
  2. 2025.11G-RISE × College of Business 2025 Startup BM Competition — Grand Prize (dotori)HUFS College of Business
  3. 2025.08FIN:NECT Challenge — Encouragement Prize (FlowPay, 5th of 110 teams)Korea Fintech Center × KakaoBank

More awards

  • 2025.1212th Bring Your Own Ideas — Grand Prize (Pungsaeng HS assignment notifier)
  • 2025.121st G-RISE Startup Competition — Grand Prize
  • 2025.082025 Spring HUFStudy — Grand Prize (NeuroSight · RZi)
  • 2025.07"PICK YOUR IDEA" IR Pitching — Excellence Award (dotori)
  • 2025.062025 Startup Camp IR Pitching Competition — Grand Prize (dotori)
  • 2025.062025 HUFS H-UP Career Exploration — Truth Award [Grand Prize] (ARtliving)
  • 2025.03Selected as a Student Startup Team, 2025 HUFS Start-up Platform (ARtliving)
  • 2024.117th College of Business × SPRINT Academic Festival — Excellence Award
Portfolio 2026Seoul, Korea