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About

foxibu

foxibu

Fourth-year Computer Engineering student

I learn by doing, more than by reading theory.

PythonPyTorchHugging FaceMCPLangChainChromaDBDockerAWS

Projects

Awards & Activity

  • 2026.11.05~06
    ★ 2026 METAmobility Autonomous Vehicle Competition: Gold AwardDetails +

    Led a three-person team and designed the driving code for a Xycar. Laps 1–3 ran on image processing and laps 4–5 on an end-to-end AI model, finishing five laps in 146 seconds including penalties for second place.

  • 2026.10.31
    AITOP100: Advanced to the FinalsDetails +

    Passed the qualifying round and advanced to the finals.

  • 2026.10.29~30
    ★ 2026 SUMTECH Hackathon: Excellence AwardDetails +

    Built Gachi Haebom, a team-matching service for first-time contestants, with a five-person team. Sole developer.

  • 2026.09.29~30
    ★ 2026 Honam SW Startup Idea Competition: Top Excellence AwardDetails +

    A hands-on heritage experience that turns museum visits, which are hard to follow without background knowledge and easy to lose interest in, into a detective game solved with real artifacts as clues, deepening understanding of and immersion in history.

  • 2026.09.19
    Making AI Beneficial Challenge 2026 (MABC): FinalistDetails +

    Reached the finals on September 19, 2026, at a competition hosted by Upstage. Our entry picks only the vocabulary a learner needs right now, based on their profile and a source text, and turns it into word cards. mabc-vocab-curator

  • 2026.09.17
    ★ AI Pilot Top Gun Challenge 2026: Honorable Mention (KAI President's Award)Details +

    A 1v1 air-combat AI contest hosted by Korea Aerospace University (290 teams). I led the two-person team Check-Six and designed and trained both a behavior tree and a reinforcement learning agent. A Claude Code audit skill flagged 17 evaluation issues, and removing a 20°/s aim-point turn-rate cap I had set myself raised the remaining-HP margin from 32% to 41%. We went 4–2 in the preliminaries and 2–1 in the round of 16, reaching the quarterfinals.

  • 2026.08.27~29
    ★ Honam SW-Centered University LLM Hackathon: Excellence Award
  • 2026.07.30~31
    ★ Honam IS Hackathon: Honorable MentionDetails +

    A two-day overnight hackathon in Jeju. I took part with An-SmartFarm, an AI smart-farm pre-design service (An-SmartFarm, Team Jodaejo).

  • 2026.07.01~15
    2026 AI·SW-Centered University Digital Competition, AI track: 28th of 269 teamsDetails +

    Run on DACON and hosted by IITP. As team lead, I predicted an AI agent's next action across 14 classes, training on RunPod GPUs, with inference limited to 10 minutes, 1 GB, and offline. We placed 28th of 269 teams (Team HUE, Macro-F1 0.79334). Four classes kept getting confused, and I traced that to ambiguous labels. I also found that 37.6% of inputs were being truncated and that the ensemble failed because its logits weren't calibrated.

  • 2026.06
    KCC 2026 paper: FinBERT vs. LLM performance comparisonDetails +

    「미국 Yelp 리뷰 감성 분석 분류 모델 개발: FinBERT와 LLM 성능 비교」 ("Sentiment Classification of U.S. Yelp Reviews: FinBERT vs. LLMs"), Korea Computer Congress (KCC) 2026, Korean Institute of Information Scientists and Engineers (KIISE), June 2026. Second author of six (corresponding author: Seokheon Cho, UCSD). I ran the experiments the paper reports, wrote its English abstract, and proofread and submitted the manuscript after the UCSD program ended.

  • 2026.04~06
    AI Intermediate Course (AWS Cloud Architecture), 160 hoursDetails +

    Ministry of Science and ICT · NIPA / Honam ICT Innovation Square.

  • 2026.01~02
    2026 Winter Overseas Program (QI AI Research Intensive)Details +

    Deputy leader of cohort 16. Wrote the paper 「미국 Yelp 리뷰 감성 분석 분류 모델 개발: FinBERT와 LLM 성능 비교」 ("Sentiment Classification of U.S. Yelp Reviews: FinBERT vs. LLMs").

  • 2025.11
    2025 LLM Safety ChallengeDetails +

    I took part in the LLM safety attack-and-defense challenge but did not make it past the preliminary round. I wrote up each problem on Notion.

  • 2025.10~11
    ★ 2025 Chosun University SW-Centered University AI Challenge: Top Excellence AwardDetails +

    A crack segmentation task under a 500M MACs budget. I tuned an EfficientNet-B0 encoder with a GroupNorm U-Net decoder to 499.5M MACs. We were 5th on the leaderboard. The top three teams went over the 500M MACs limit and were disqualified, so we finished 2nd of 30. Our model had 5.01M parameters and used 499.5M MACs. Kaggle competition page

  • 2025.04
    ★ 5th Future & Software Contest: Excellence AwardDetails +

    An information security web/app development contest hosted by the Future & Software Foundation, with 204 teams from 98 universities nationwide.

  • 2025.03~09
    Whitehat School, cohort 3 (completed)