
Developed and expanded the Algorithm Library within the DaleStudy/leetcode-study repository, delivering a reusable toolkit of classic algorithm implementations aimed at supporting learners and interview preparation. Focused on TypeScript, the work included designing and refining solutions for problems such as Two Sum variants, House Robber, Climbing Stairs, and Longest Consecutive Sequence, emphasizing correctness and edge-case handling. Leveraged skills in algorithm design, data structures, and dynamic programming to broaden problem coverage and improve platform reliability. Commit-driven development ensured reproducibility and maintainability, resulting in a more consistent onboarding experience and enhanced value for users seeking self-paced algorithm practice.
Month: 2026-03 — Major feature delivery and bug fixes in DaleStudy/leetcode-study centered on expanding and hardening the Algorithm Library. The work delivers a reusable toolkit for learners and interview prep, improving consistency, reliability, and onboarding experience across the platform.
Month: 2026-03 — Major feature delivery and bug fixes in DaleStudy/leetcode-study centered on expanding and hardening the Algorithm Library. The work delivers a reusable toolkit for learners and interview prep, improving consistency, reliability, and onboarding experience across the platform.

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