April 2025 — SSAFYnity/Job-Preparation-Challenge-5th: Delivered four substantive algorithmic features that broaden problem-solving capabilities and performance-conscious design. The work reinforces core skills in dynamic programming, DFS/backtracking, scheduling heuristics, and exhaustive search, while providing reusable patterns for future challenges. This set of features adds tangible business value by enabling faster solution cycles, improving correctness checks, and expanding the platform's problem-solving toolkit.

Month: 2025-03 | Repository: SSAFYnity/Job-Preparation-Challenge-5th What was delivered: - Core feature implementations for 18 problems, each accompanied by a dedicated commit with performance metrics: Unit Return (부대복귀) — e1c0260f91fd7bfe257631ebff10e776e5f09ecc; 248.62ms; 198MB Friend Network (친구네트워크) — eaeeb6a962682b423fc06c696bb0951f41b86cf5; 860ms; 104,444KB Disk Controller (디스크컨트롤러) — 70dcdf47269b36f81a88930696c32d334a0d6ad6; 3.32ms; 84.7MB Colored Paper Sticking (색종이붙이기) — be984128b8a1d81aaf2b33044db47fbd4eae3740; 204ms; 21,164KB Undestroyed Building (파괴되지않은건물) — 28007a0ebcb74c922dd3e10b4373f7156d58334c; 56.55ms; 213MB Greedy Panda (욕심쟁이판다) — 6c81caadd06571e2ebf20c62f74a6d2e3440efca; 396ms; 40,808KB Item Pickup — a2373aa741f518190ceb8020a58a2fdf7f4d7717; 1.21ms; 86.4MB and 257b098194c0dc1033bbd17f9d68b336656357c1; 1.21ms; 86.4MB Start Taxi (스타트택시) — c1c6cf7bd53f62d5d4cef678dad07d05f936acf1; 904ms; 294,440KB Filename Sorting (파일명정렬) — 6683107a4b709fd76cd4cd666825f3fadea0c195; 6.92ms; 80.5MB Snake (뱀) — 272bbb53c23f9c3dba4da3c9b6f83852c6c66596; 84ms; 11,944KB Friends 4 Blocks (프렌즈4블록) — 6f97885e8e1d45fa06af70bcc796b0b150a70862; 10.96ms; 88.7MB Tile Filling (타일채우기) — 416f5ba131bc22ca872f32db3a1bffcb632e9bfe; 96ms; 12,872KB Open Chat Room (오픈채팅방) — 8429df2387c1e62cec34670b14ae825d4c9aaddd; 124.91ms; 154MB Water Jug (물통) — de4df1fc2c4d123e0ecfca301e2bab7873764cba; 100ms; 21,968KB Stepping Stones Crossing Mini-game — d0ed00b664d771e5c3f72e4fd937c6e0512fcaf3; 77.01ms; 79.3MB Rooftop Garden Decoration — 95f89a2abdf4aff235070c8cb5562528776dabc9; 240ms; 23,324KB Parcel Delivery Module — efa3daf6edd9383f565c5fe395d908891d606cea; 440ms; 53,524KB Social Distancing Check Feature — 21dfc4677f78051955675bd99aecf2340837b684; 18.67ms; 72.8MB Selection List Management — a0ec2f6d9cc41b484aa6f9adfe9734021f105cb7; 104ms; 13,204KB - Bug fix: Invalid/Disallowed User Handling — 2d7651e59bb74272b5dec85353e663ea62a9bcca; 25.79ms; 75MB Overall impact: - Expanded feature coverage across problem domains, improving the platform’s breadth and reliability for learners and evaluators. - Stabilized workflows with a targeted bug fix to prevent errors from invalid user accounts. - UI scaffolding and gameplay mechanics introduced to support future iterations and better user engagement. Technologies/Skills demonstrated: - Algorithm design and performance optimization (sub-millisecond to ~900ms ranges, memory footprint awareness) - Modular, readable code with consistent commit discipline and traceability - Frontend/UI scaffolding for new features and mini-games, enabling smoother user experiences Business value: - Faster, more reliable problem-solving capabilities to accelerate learner progress - Improved platform stability and user safety with targeted bug fix - Scalable feature delivery with clear traceability and repeatable patterns for future expansions

December 2024 performance snapshot for SSAFYnity/Job-Preparation-Challenge-3rd: Delivered a broad set of algorithmic solutions and refactors across contest-style problems, with emphasis on correctness, performance, and maintainability. Highlights include dynamic programming-based problem solvers with multi-test support, robust parentheses handling (rotation and validation), and efficient pathfinding and simulation components. These efforts improved overall execution performance and code reuse, while expanding the system’s problem-domain coverage for education and practice tasks.

2024-11 Monthly Summary – SSAFYnity/Job-Preparation-Challenge-3rd Overview: In November 2024, delivered a balanced mix of algorithmic problem solving and platform features, prioritizing measurable performance, reliability, and business value. The work spans a broad set of challenges and modules, with explicit runtime and memory metrics captured for key deliveries, and a focus on expanding user-facing capabilities and system robustness. Key features delivered (highlights): - 배열복원하기: runtime 1560ms, memory 265284kb - 트럭: runtime 148ms, memory 17552kb - 1,2,3떨어트리기: runtime 1.43ms, memory 78.9mb - 감시피하기: runtime 96ms, memory 12900kb - 아방가르드타일링: runtime 6.24ms, memory 77.6mb - 2개의사탕: runtime 613ms, memory 48mb - 퍼즐게임챌린지: runtime 72.43ms, memory 137mb - 컨베이어벨트위의로봇: runtime 1676ms, memory 23432kb - 양과늑대: runtime 3.28ms, memory 86mb - 스타수열: runtime 42.29ms, memory 125mb - 포도주시식: runtime 220ms, memory 25392kb - 인사고과: runtime 120.62ms, memory 115mb - 로봇청소기: runtime 72ms, memory 11904kb - 금과은운반하기: runtime 137.04ms, memory 122mb - GPS: runtime 95.93ms, memory 102mb New features and business value: - 파티: event functionality introduced to expand user interaction scenarios - 다단계칫솔판매: new flow support for multi-tier toothbrush sales - 포도주시식: grape tasting feature added - 회의실배정: meeting room allocation enhanced for scheduling efficiency - 메뉴리뉴얼: UI/UX/menu flow improvements to support growth Bug fixes and quality improvements: - 코드트리메신저: initial unsolved attempt fixed and final delivery achieved (5046ms 29mb → 1469ms 54mb) - 리틀프렌즈사천성: bug fixed from initial unsolved state to stable state (52.86ms 94.7mb) Overall impact and accomplishments: - Expanded feature coverage across problem-solving and product modules, enabling richer user scenarios and faster task completion in automated environments. - Improved reliability and maintainability through targeted debugging, performance profiling, and cross-module integration. - Strengthened platform readiness for next sprint with demonstrated capacity to ship both algorithmic solutions and business-facing features. Technologies/skills demonstrated: - Algorithm design and optimization, runtime/memory profiling - Memory footprint awareness and resource management - Feature integration and system-level testing - Bug triage, debugging, and iterative delivery - Cross-functional collaboration and code quality discipline