ai-kmu/etc
Nov 2024 – Jul 2025
9 Months active
Languages Used
Python
Technical Skills
AlgorithmAlgorithm ImplementationData StructuresProblem SolvingAlgorithmsBinary Trees
Kim Sungsik
PROFILE
Kim Sungsik
Sungsik Kim developed a suite of algorithmic solutions and utilities in the ai-kmu/etc repository, focusing on reusable Python modules for problem solving, simulation, and data processing. Over nine months, he engineered features such as BFS-based graph traversal, dynamic programming solvers, and simulation tools for robotics and games, emphasizing clean API design and maintainable code. His work leveraged Python and data structures to address challenges in matrix manipulation, string processing, and object-oriented design. By prioritizing correctness, performance, and modularity, Sungsik enabled rapid prototyping and educational use, delivering depth across algorithms, banking logic, and iterative development without introducing major defects.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
43Total
Bugs
0
Commits
43
Features
33
Lines of code
691
Activity Months9
Your Network
12 peopleSame Organization
@kookmin.ac.kr9
Shared Repositories
3
Work History
July 2025
5 Commits • 3 Features
Jul 1, 2025July 2025 — Key features delivered in ai-kmu/etc: Robot Path Planning and Obstacle Avoidance Simulation; Bowling Score Calculator with Strike-Dependent Scoring; Algorithmic Challenge Solver Library. No major bugs fixed this period; stability maintained. Overall impact: expands robotics simulation capabilities, provides a practical bowling scoring analytical tool, and delivers a reusable toolbox of algorithmic solutions, accelerating experimentation, benchmarking, and educational demonstrations. Technologies/skills demonstrated: Python scripting, efficient data structures (set) for obstacle checks, algorithm design, modular code architecture, and disciplined version control.
5 Commits • 3 Features
Jul 1, 2025July 2025 — Key features delivered in ai-kmu/etc: Robot Path Planning and Obstacle Avoidance Simulation; Bowling Score Calculator with Strike-Dependent Scoring; Algorithmic Challenge Solver Library. No major bugs fixed this period; stability maintained. Overall impact: expands robotics simulation capabilities, provides a practical bowling scoring analytical tool, and delivers a reusable toolbox of algorithmic solutions, accelerating experimentation, benchmarking, and educational demonstrations. Technologies/skills demonstrated: Python scripting, efficient data structures (set) for obstacle checks, algorithm design, modular code architecture, and disciplined version control.
July 2025
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for the ai-kmu/etc repository. Delivered a Python PeekingIterator utility to enable safe lookahead in iterator processing, including initialization, peek, next, and has_next APIs with a sentinel end marker (-100000). Implemented in a new module (Sungsik.py) and committed as a0868affa86253746d5d876cac6ee367920a9a57 with message 'Create Sungsik.py'. This work reduces duplication of iterators, simplifies streaming data processing, and improves robustness in iteration-based workflows.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for the ai-kmu/etc repository. Delivered a Python PeekingIterator utility to enable safe lookahead in iterator processing, including initialization, peek, next, and has_next APIs with a sentinel end marker (-100000). Implemented in a new module (Sungsik.py) and committed as a0868affa86253746d5d876cac6ee367920a9a57 with message 'Create Sungsik.py'. This work reduces duplication of iterators, simplifies streaming data processing, and improves robustness in iteration-based workflows.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for ai-kmu/etc: Delivered a robust BFS-based solver for the Open the Lock problem. Implemented a minimum-turn solver with dead-end avoidance and support for starting dead ends, packaged as a user-facing solution.
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for ai-kmu/etc: Delivered a robust BFS-based solver for the Open the Lock problem. Implemented a minimum-turn solver with dead-end avoidance and support for starting dead ends, packaged as a user-facing solution.
May 2025
April 2025
5 Commits • 3 Features
Apr 1, 2025April 2025 highlights: Delivered three Python-based algorithmic features in ai-kmu/etc focused on practical problem solving, maintainability, and reuse. Key outcomes include a BFS-based provinces solver for counting connected components in adjacency matrices (with flood-fill style refinement), a lock-breaking time solver using a greedy approach combined with binary search to estimate minimum time, and a string difference finder leveraging Counter to identify the single extra character in t relative to s. No major bugs were documented for this month. Impact: enables faster prototyping, clearer interfaces, and reusable components for graph analysis, optimization, and string processing. Technologies/skills demonstrated: Python, BFS/flood-fill, greedy algorithms, binary search, Counter from collections, problem-solving, and Git-based traceability across commits.
April 2025
5 Commits • 3 Features
Apr 1, 2025April 2025 highlights: Delivered three Python-based algorithmic features in ai-kmu/etc focused on practical problem solving, maintainability, and reuse. Key outcomes include a BFS-based provinces solver for counting connected components in adjacency matrices (with flood-fill style refinement), a lock-breaking time solver using a greedy approach combined with binary search to estimate minimum time, and a string difference finder leveraging Counter to identify the single extra character in t relative to s. No major bugs were documented for this month. Impact: enables faster prototyping, clearer interfaces, and reusable components for graph analysis, optimization, and string processing. Technologies/skills demonstrated: Python, BFS/flood-fill, greedy algorithms, binary search, Counter from collections, problem-solving, and Git-based traceability across commits.
March 2025
4 Commits • 4 Features
Mar 1, 2025March 2025 (ai-kmu/etc) – Key features delivered: Four Python algorithm scripts were implemented: Plus One Problem Solution, Median of Two Sorted Arrays Solver, Sum of Digits in Base K, and Palindrome Number Checker, each delivered via a dedicated Sungsik.py script with clear commit trace. Major bugs fixed: none reported this month. Overall impact: Expanded a reusable algorithm toolkit, accelerating future development and interview prep; demonstrated end-to-end scripting with concise, well-documented solutions and transparent commit history. Technologies/skills demonstrated: Python scripting, list/array manipulation, base conversions, string processing, merging algorithms, and strong Git discipline.
4 Commits • 4 Features
Mar 1, 2025March 2025 (ai-kmu/etc) – Key features delivered: Four Python algorithm scripts were implemented: Plus One Problem Solution, Median of Two Sorted Arrays Solver, Sum of Digits in Base K, and Palindrome Number Checker, each delivered via a dedicated Sungsik.py script with clear commit trace. Major bugs fixed: none reported this month. Overall impact: Expanded a reusable algorithm toolkit, accelerating future development and interview prep; demonstrated end-to-end scripting with concise, well-documented solutions and transparent commit history. Technologies/skills demonstrated: Python scripting, list/array manipulation, base conversions, string processing, merging algorithms, and strong Git discipline.
March 2025
February 2025
8 Commits • 5 Features
Feb 1, 2025February 2025 (Month: 2025-02) focused on delivering robust, reusable algorithmic solutions in the ai-kmu/etc repository, with emphasis on correctness, performance, and maintainability. The work culminated in feature-rich Python scripts (Sungsik.py) that encode reusable problem-solving patterns for matrices and strings, enabling faster onboarding and future development. Overall, the month delivered multiple high-impact features with clean, refactor-driven improvements, setting a solid technical foundation for expanding the problem-solving toolkit in subsequent releases.
February 2025
8 Commits • 5 Features
Feb 1, 2025February 2025 (Month: 2025-02) focused on delivering robust, reusable algorithmic solutions in the ai-kmu/etc repository, with emphasis on correctness, performance, and maintainability. The work culminated in feature-rich Python scripts (Sungsik.py) that encode reusable problem-solving patterns for matrices and strings, enabling faster onboarding and future development. Overall, the month delivered multiple high-impact features with clean, refactor-driven improvements, setting a solid technical foundation for expanding the problem-solving toolkit in subsequent releases.
January 2025
5 Commits • 4 Features
Jan 1, 2025January 2025 monthly summary for ai-kmu/etc focusing on delivering core features, enabling robust operations, and sharpening algorithmic capabilities. Delivered four features across the repository, established reusable components, and demonstrated strong problem-solving and software engineering skills that align with business needs.
5 Commits • 4 Features
Jan 1, 2025January 2025 monthly summary for ai-kmu/etc focusing on delivering core features, enabling robust operations, and sharpening algorithmic capabilities. Delivered four features across the repository, established reusable components, and demonstrated strong problem-solving and software engineering skills that align with business needs.
January 2025
December 2024
6 Commits • 5 Features
Dec 1, 2024December 2024 — Delivered five core features in ai-kmu/etc spanning navigation, data-structure utilities, and algorithmic tooling. BrowserHistory navigation now supports visiting URLs, back/forward navigation, and forward-history truncation. Added a Binary Tree Second Minimum Value Finder with robust edge-case handling for when a second minimum is absent. Implemented Grid Minimum Path Cost DP Solver using per-cell costs and DP across rows. Implemented an iterative N-th Tribonacci Number Calculator for scalable computation. Created a First to Win K Games in a Row solver with winner-determination logic. Overall impact: improved user navigation, faster/robust algorithms, and reusable components that raise productivity and enable new features. Technologies/skills demonstrated: Python, DP, tree traversal, iterative algorithms, refactoring, clean API design, problem-solving.
December 2024
6 Commits • 5 Features
Dec 1, 2024December 2024 — Delivered five core features in ai-kmu/etc spanning navigation, data-structure utilities, and algorithmic tooling. BrowserHistory navigation now supports visiting URLs, back/forward navigation, and forward-history truncation. Added a Binary Tree Second Minimum Value Finder with robust edge-case handling for when a second minimum is absent. Implemented Grid Minimum Path Cost DP Solver using per-cell costs and DP across rows. Implemented an iterative N-th Tribonacci Number Calculator for scalable computation. Created a First to Win K Games in a Row solver with winner-determination logic. Overall impact: improved user navigation, faster/robust algorithms, and reusable components that raise productivity and enable new features. Technologies/skills demonstrated: Python, DP, tree traversal, iterative algorithms, refactoring, clean API design, problem-solving.
November 2024
8 Commits • 7 Features
Nov 1, 20242024-11 monthly summary for ai-kmu/etc: Focused on delivering reusable, algorithmic Python solutions and analytics utilities. Delivered 7 features across the repo, each implemented via a dedicated Sungsik.py script and backed by clear commit history. The work spanned numerical problems, data processing, grid and image transformations, and game-logic tasks, enabling practice templates and potential analytics components. Key features include Disappeared Numbers, Unique Active Minutes, Happy Number, Rotate Grid, Flip and Invert Image, Vowel Game, and Teemo Attacking. While there were no major customer-reported defects fixed this month, the changes improved code quality, consistency, and traceability. Technologies demonstrated: Python, set-based algorithms, cycle detection, matrix operations, and log analytics.
8 Commits • 7 Features
Nov 1, 20242024-11 monthly summary for ai-kmu/etc: Focused on delivering reusable, algorithmic Python solutions and analytics utilities. Delivered 7 features across the repo, each implemented via a dedicated Sungsik.py script and backed by clear commit history. The work spanned numerical problems, data processing, grid and image transformations, and game-logic tasks, enabling practice templates and potential analytics components. Key features include Disappeared Numbers, Unique Active Minutes, Happy Number, Rotate Grid, Flip and Invert Image, Vowel Game, and Teemo Attacking. While there were no major customer-reported defects fixed this month, the changes improved code quality, consistency, and traceability. Technologies demonstrated: Python, set-based algorithms, cycle detection, matrix operations, and log analytics.
November 2024
Activity
Loading activity data...
Quality Metrics
Correctness89.4%
Maintainability88.8%
Architecture84.6%
Performance83.8%
AI Usage24.2%
Skills & Technologies
Programming Languages
Python
Technical Skills
AlgorithmAlgorithm ImplementationAlgorithmsBacktrackingBasic Banking LogicBinary SearchBinary TreesBreadth-First SearchBreadth-First Search (BFS)Data StructuresDepth-First SearchDynamic ProgrammingGame DevelopmentGraph TraversalGreedy Algorithm
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline