AlgoriGym-study/AlgoriGym
Nov 2025 – Jun 2026
7 Months active
Languages Used
Java
Technical Skills
Javaalgorithm developmentdynamic programmingJava programmingproblem solvingdata structures
Yerin Lee
PROFILE
Yerin Lee
Over seven months, this developer delivered 25 features to the AlgoriGym-study/AlgoriGym repository, focusing on reusable algorithmic utilities and problem-solving modules. They built core libraries for numeric and string operations, implemented dynamic programming solutions, and expanded data analysis capabilities using Java and Java Streams. Their work included project scaffolding, workflow automation, and comprehensive documentation to streamline onboarding and maintainability. By designing modular utilities for tasks such as array manipulation, string parsing, and resource allocation, they enabled rapid feature development and educational use. The approach emphasized clean code, traceable commits, and robust handling of edge cases across diverse algorithmic challenges.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
63Total
Bugs
0
Commits
63
Features
25
Lines of code
53,442
Activity Months7
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Work History
June 2026
13 Commits • 2 Features
Jun 1, 2026June 2026 — AlgoriGym study repository (AlgoriGym). Established foundational project scaffolding, templates, and sample input data to accelerate onboarding, enforce consistency, and enable scalable problem solving. Delivered Java solutions for 13+ algorithm challenges across diverse topics including arrays, geometry, data structures, and string processing (examples: Array Slicing, Quadrant of a Point, LRU Cache, Maximum Value (1), Remove Vowels, Array Element Length, I Hate Even Numbers, Triangle Completion Condition (1), Uppercase/Lowercase, Letter problem, Select Multiples of n, Bacteria Growth); commits include 941eec39fd425d3242a16a548c21daed0971960c and multiple problem-specific updates.
13 Commits • 2 Features
Jun 1, 2026June 2026 — AlgoriGym study repository (AlgoriGym). Established foundational project scaffolding, templates, and sample input data to accelerate onboarding, enforce consistency, and enable scalable problem solving. Delivered Java solutions for 13+ algorithm challenges across diverse topics including arrays, geometry, data structures, and string processing (examples: Array Slicing, Quadrant of a Point, LRU Cache, Maximum Value (1), Remove Vowels, Array Element Length, I Hate Even Numbers, Triangle Completion Condition (1), Uppercase/Lowercase, Letter problem, Select Multiples of n, Bacteria Growth); commits include 941eec39fd425d3242a16a548c21daed0971960c and multiple problem-specific updates.
June 2026
May 2026
13 Commits • 6 Features
May 1, 2026May 2026 monthly summary for AlgoriGym project. The month focused on delivering a cohesive reusable toolkit for algorithm practice and analytics, along with data-processing features that enable faster problem-solving workflows and educational use. All work centered on building a solid base library and practical utilities that reduce duplication and accelerate future feature delivery.
May 2026
13 Commits • 6 Features
May 1, 2026May 2026 monthly summary for AlgoriGym project. The month focused on delivering a cohesive reusable toolkit for algorithm practice and analytics, along with data-processing features that enable faster problem-solving workflows and educational use. All work centered on building a solid base library and practical utilities that reduce duplication and accelerate future feature delivery.
April 2026
3 Commits • 2 Features
Apr 1, 2026April 2026 monthly summary for AlgoriGym (AlgoriGym-study/AlgoriGym). Delivered production-ready problem-solving capabilities and reusable algorithms, while improving project scaffolding and maintainability to accelerate future work. Key outputs include a division problem solver with robust input handling and output formatting, project scaffolding enhancements (issue/PR templates), README and .gitignore updates, and the addition of two reusable algorithms (taller-than counting and divisor counting). These efforts reduce onboarding time, improve code quality, and enable faster problem-solving for upcoming challenges. Commits reflect focused, incremental delivery and tangible business value.
3 Commits • 2 Features
Apr 1, 2026April 2026 monthly summary for AlgoriGym (AlgoriGym-study/AlgoriGym). Delivered production-ready problem-solving capabilities and reusable algorithms, while improving project scaffolding and maintainability to accelerate future work. Key outputs include a division problem solver with robust input handling and output formatting, project scaffolding enhancements (issue/PR templates), README and .gitignore updates, and the addition of two reusable algorithms (taller-than counting and divisor counting). These efforts reduce onboarding time, improve code quality, and enable faster problem-solving for upcoming challenges. Commits reflect focused, incremental delivery and tangible business value.
April 2026
February 2026
3 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for AlgoriGym-study/AlgoriGym: Two feature enhancements delivered, expanding data processing and numeric computation capabilities. Implemented Data Analysis Enhancements for configurable filtering/sorting to surface deeper insights, and added Array Utilities for min removal and dot product computations. No major bugs reported this month; minor maintenance and quality improvements were addressed through the commits. These efforts improve data-driven decision making and extensibility of the platform, enabling users to perform more customized analyses and efficient vector operations. Technologies demonstrated include data processing logic, array manipulation, and disciplined version control practices.
February 2026
3 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for AlgoriGym-study/AlgoriGym: Two feature enhancements delivered, expanding data processing and numeric computation capabilities. Implemented Data Analysis Enhancements for configurable filtering/sorting to surface deeper insights, and added Array Utilities for min removal and dot product computations. No major bugs reported this month; minor maintenance and quality improvements were addressed through the commits. These efforts improve data-driven decision making and extensibility of the platform, enabling users to perform more customized analyses and efficient vector operations. Technologies demonstrated include data processing logic, array manipulation, and disciplined version control practices.
January 2026
13 Commits • 4 Features
Jan 1, 2026January 2026 (2026-01) highlights delivered for AlgoriGym-study/AlgoriGym. A consolidated Core Numeric and String Utilities library was released, enabling reusable numeric/string operations (e.g., perfect square checks, base-k prime counting, digit sorting, Harshad tests, digit reversal, missing digits sum, signed integer addition, bill folding optimization, divisor filtering, Collatz steps with limit, middle character extraction, and number-words conversions). In addition, privacy and UX improvements were implemented: phone numbers are masked except for the last four digits. Wallet folding logic was optimized to fit bills within wallet capacity, minimizing folds. A new Personality Type Test feature scores survey responses and returns dominant traits. These features were delivered through multiple commits across the repository, reflecting strong algorithmic design, refactoring, and end-to-end feature delivery.
13 Commits • 4 Features
Jan 1, 2026January 2026 (2026-01) highlights delivered for AlgoriGym-study/AlgoriGym. A consolidated Core Numeric and String Utilities library was released, enabling reusable numeric/string operations (e.g., perfect square checks, base-k prime counting, digit sorting, Harshad tests, digit reversal, missing digits sum, signed integer addition, bill folding optimization, divisor filtering, Collatz steps with limit, middle character extraction, and number-words conversions). In addition, privacy and UX improvements were implemented: phone numbers are masked except for the last four digits. Wallet folding logic was optimized to fit bills within wallet capacity, minimizing folds. A new Personality Type Test feature scores survey responses and returns dominant traits. These features were delivered through multiple commits across the repository, reflecting strong algorithmic design, refactoring, and end-to-end feature delivery.
January 2026
December 2025
17 Commits • 8 Features
Dec 1, 2025December 2025: Expanded AlgoriGym's algorithm practice resources by delivering a cohesive set of reusable utilities and problem solutions across core domains. Key work includes a Baekjoon honeycomb problem solver, min/max extraction from numeric strings, numeric aggregations and range sums, P/Y string frequency analysis, and robust string parsing/formatting utilities, plus problem-solving helpers like N-th number containing 666, lottery/Kim index, and interval sequence generation. These efforts enhance learning efficiency, enable rapid generation of practice scenarios, and demonstrate strong algorithmic design, parsing, and testing discipline.
December 2025
17 Commits • 8 Features
Dec 1, 2025December 2025: Expanded AlgoriGym's algorithm practice resources by delivering a cohesive set of reusable utilities and problem solutions across core domains. Key work includes a Baekjoon honeycomb problem solver, min/max extraction from numeric strings, numeric aggregations and range sums, P/Y string frequency analysis, and robust string parsing/formatting utilities, plus problem-solving helpers like N-th number containing 666, lottery/Kim index, and interval sequence generation. These efforts enhance learning efficiency, enable rapid generation of practice scenarios, and demonstrate strong algorithmic design, parsing, and testing discipline.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025: Delivered a dynamic programming solution for Baekjoon 1463 in the AlgoriGym project, establishing a reliable, scalable approach to compute the minimum steps to reduce a number to 1. This work enhances the repository’s problem-solving curriculum and provides a clear reference implementation for learners.
1 Commits • 1 Features
Nov 1, 2025November 2025: Delivered a dynamic programming solution for Baekjoon 1463 in the AlgoriGym project, establishing a reliable, scalable approach to compute the minimum steps to reduce a number to 1. This work enhances the repository’s problem-solving curriculum and provides a clear reference implementation for learners.
November 2025
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Quality Metrics
Correctness98.8%
Maintainability93.6%
Architecture90.2%
Performance91.4%
AI Usage26.4%
Skills & Technologies
Programming Languages
Java
Technical Skills
AlgorithmsData StructuresJavaJava StreamsJava programmingProblem SolvingString Manipulationalgorithm designalgorithm developmentdata analysisdata structuresdocumentationdynamic programmingproblem solvingrepository management
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