DaleStudy/leetcode-study
Nov 2025 – Jan 2026
2 Months active
Languages Used
Python
Technical Skills
PythonPython programmingalgorithm designalgorithm developmentdata structuresproblem solving
HYUNAHKO
PROFILE
Hyunahko
Over a two-month period, Hy Na developed a suite of algorithmic utilities and problem-solving tools in the DaleStudy/leetcode-study repository, focusing on Python and leveraging skills in algorithm design and data structures. Hy built features such as duplicate detection, Two Sum solutions, and top-k frequent element retrieval, emphasizing robust input validation and maintainability. The work included efficient palindrome utilities, product-of-array-except-self logic, and modular components for string processing and graph algorithms. By implementing dynamic programming for longest common subsequence and safe graph cloning via depth-first search, Hy delivered reusable, performance-oriented solutions that enhance study efficiency and support reliable interview preparation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
26Total
Bugs
0
Commits
26
Features
12
Lines of code
533
Activity Months2
Your Network
251 people
Work History
January 2026
8 Commits • 7 Features
Jan 1, 2026January 2026: Expanded the algorithm toolkit in DaleStudy/leetcode-study with reusable utilities and robust problem-solutions that directly improve study efficiency and interview readiness. Delivered modular components and performance-focused patterns, enabling faster solution derivation and safer deep copies of graph structures, with improvements across string processing, graph algorithms, and dynamic programming.
8 Commits • 7 Features
Jan 1, 2026January 2026: Expanded the algorithm toolkit in DaleStudy/leetcode-study with reusable utilities and robust problem-solutions that directly improve study efficiency and interview readiness. Delivered modular components and performance-focused patterns, enabling faster solution derivation and safer deep copies of graph structures, with improvements across string processing, graph algorithms, and dynamic programming.
January 2026
November 2025
18 Commits • 5 Features
Nov 1, 2025Concise monthly performance summary for 2025-11 focused on delivering core algorithm utilities, improving input validation, and stabilizing features for maintainability and reusability. The work aligns with business value by enabling faster problem-solving workflows and more reliable utilities for future features.
November 2025
18 Commits • 5 Features
Nov 1, 2025Concise monthly performance summary for 2025-11 focused on delivering core algorithm utilities, improving input validation, and stabilizing features for maintainability and reusability. The work aligns with business value by enabling faster problem-solving workflows and more reliable utilities for future features.
Activity
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Quality Metrics
Correctness94.6%
Maintainability91.6%
Architecture90.8%
Performance88.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
PythonPython programmingalgorithm designalgorithm developmentdata structuresdepth-first searchdynamic programminggraph theoryproblem solving
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