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Dongmyung378/README.md

South Korea Park Dongmyung

AI Engineer

Learning and building toward the future I imagine.

Portfolio GitHub LinkedIn Email AtCoder LeetCode

Education: University of Manchester, BSc Artificial Intelligence, First Class Honours, September 2021 to July 2026. Interests: Artificial Intelligence, Robotics, Autonomous Driving, Rocket Engineering.

Tech Stack

Python C++ Java SQL PyTorch TensorFlow scikit-learn FastAPI Spring Git Docker

Coding Practice

AtCoder ParkDM: algorithm rating 266 provisional, algorithm rank #45,059, 4 rated contests; updated 2026-10-19 UTC. LeetCode Dongmyung: 16 problems solved, Easy 0, Medium 16, Hard 0, contest rating unrated, 5 active days in 2026, profile rank 5M+; updated 2026-10-19 UTC.

Updated daily from public profiles. Each card shows its last successful refresh.

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  1. Evidence-Grounded-Paper-QnA Evidence-Grounded-Paper-QnA Public

    Bilingual research-paper Q&A prototype with hybrid retrieval, source-to-answer alignment and a reproducible 30-paper evaluation.

    Python 1

  2. DM100-2D-Rocket-Recovery DM100-2D-Rocket-Recovery Public

    DM100: 2D rocket launch and recovery simulator with model-based guidance, causal attitude estimation, frozen evaluation, numerical verification and reproducible evidence.

    Python 1

  3. NLU-Authorship-Verification NLU-Authorship-Verification Public

    Same-author classification on a supplied English text-pair dataset using stylometry and RoBERTa-Large; bilingual docs and CLI demo.

    Python

  4. Context-Aware-Npc-System Context-Aware-Npc-System Public

    Unreal Engine 5.4.4 NPC prototype with schedules, state-aware dialogue, quests, trading and companions. Includes source restoration, Blueprint inspection and actual-engine regression tests.

    C++

  5. Korean-NLP-RAG Korean-NLP-RAG Public

    Local Korean RAG with task-aligned training, hybrid retrieval, extractive QA, frozen evaluation and portable CPU execution.

    Python

  6. AI-and-Games AI-and-Games Public

    Hex search with C++17 MCTS, RAVE and Thompson sampling; CPU time-budget evaluation, replay verification, and reproducible Windows and Kaggle builds.

    C++