Delivered DeltaTimeNormaliser into Taiko rhythm grouping and difficulty calculation, improving rhythm stability and the accuracy of Taiko difficulty metrics. The normalization reduces timing noise in delta times, resulting in more reliable rhythm analysis and better balance in Taiko gameplay.

July 2025 highlights for ppy/osu focusing on Taiko mode accuracy improvements and reliability. Key features delivered include refinement of the Taiko stamina calculation and improvements to difficulty penalties, delivering more predictable gameplay and fairer scoring. Major bugs fixed address Taiko difficulty penalty calculations and rhythm-variation penalties, ensuring penalties are applied consistently and not bypassed. Overall impact includes improved Taiko scoring fidelity, better player experience, and a more maintainable codebase. Technologies and skills demonstrated include C# gameplay systems refactoring, robust metric handling, and traceable changes through commit history to support regression reliability.

June 2025: Governance/documentation update for osu-wiki focused on accurate committee membership and language consistency. Implemented a targeted wiki page update to reflect the current osu!taiko Performance Points Committee, ensuring clear contributor records and easy onboarding for future members. The change is fully traceable and linked to the corresponding PR and commit for auditability.

May 2025 performance summary for ppy/osu focused on feature delivery in difficulty modeling. Implemented a new osu!taiko consistency factor to better reflect difficulty spikes, with new mechanical and consistency difficulty attributes; updated the difficulty calculation pipeline to derive these metrics and ensured proper serialization and storage for persistence across sessions. This foundational work improves player experience, balancing, and ranking visibility as players encounter varied difficulty patterns.

March 2025: Delivered the Osu!Taiko Difficulty Calculation Refactor in the ppy/osu repository to improve star rating accuracy by weighting individual Taiko skills (rhythm, reading, color, stamina). The new approach derives per-skill difficulties from skill values using a calculated skill rating and then applies this to rescale the combined difficulty, delivering more faithful difficulty representations and enabling safer future tuning. This work enhances balance fidelity, supports better player experience, and simplifies future maintenance. Major bugs fixed: none reported this month. Technologies/skills demonstrated: algorithmic weighting, numerical scaling, refactoring, and maintainable code architecture in a high-traffic game project.

January 2025 monthly overview for the osu! project focusing on Taiko gameplay balance: implemented difficulty recalibration and a scoring system rebalance to deliver more accurate and fair difficulty metrics, improvements to player experience, and groundwork for safer future tuning across the Taiko subsystem.

December 2024: Delivered cross-repo features that improve user-facing difficulty scoring, governance documentation, and editor maintainability across osu-wiki and osu. Key outcomes include governance and content updates for the Performance Points Committee, comprehensive Taiko difficulty recalibration with Relax mode adjustments and normalization, and a skills overhaul to improve rhythm-based scoring.

Month: 2024-11 — This period prioritized delivering robust technical improvements and clearer player-facing communication across the osu! ecosystem. Key work includes a substantial Strain calculation overhaul in ppy/osu (per-object strain values, top-weighted strain counting, and a refactor of StrainSkill), plus cleanup by removing obsolete data structures and renaming for clarity. Documentation and community-facing updates were consolidated in ppy/osu-wiki (Performance Points System news posts and docs), clarifying calculation details, stamina assessment, penalties, and accuracy scaling, with improved terminology and wording. Administrative governance updates were completed in osu!taiko PP committee membership. A minor, non-functional bug fix in Taiko's performance calculator was also applied. These efforts improve metric accuracy, maintainability, and player communication, while strengthening cross-repo collaboration and release-note quality.

October 2024 monthly performance summary for ppy/osu focused on feature delivery and code quality improvements in Taiko difficulty and scoring recalibration. Delivered a comprehensive overhauls to difficulty calculation, mod impact modeling, and stamina-based metrics, enabling more accurate gameplay balance and better analytics. Key Achievements: - Taiko difficulty and scoring recalibration feature delivered: overhauled performance multipliers and mod effects (Hidden, Easy, Flashlight), added MonoStaminaFactor usage, simplified difficulty logic by removing isConvert parameter, and introduced a mono streak index with logarithmic decay to stamina strain. - Code readability and maintainability improvements: renamed stamina-related variables for clarity, and documented/standardized new stamina calculations. - Commit-driven interval: aligned with targeted refactor and feature delivery across the Taiko module (commits include: Change Convert Bonuses to Performance; change convert specific omissions; Change naming of onlyMono to SingleColourStamina; Add mono streak index calculation to strain values). Major Bugs Fixed: - No explicit bug fixes recorded in this feature-focused cycle; work prioritized feature delivery and code quality to reduce future bug surface. Impact and Accomplishments: - Enhanced accuracy of Taiko difficulty and scoring, enabling finer tuning of balance and mod interactions, improving player experience and analytics. - Established a robust foundation for future stamina-based features and performance optimization, with clearer, maintainable code paths. Technologies/Skills Demonstrated: - Advanced game mechanic modeling (mod effects, stamina modeling, mono-streak indexing). - Refactoring for readability and maintainability; terminology standardization and parameter simplification. - Commit-driven development with explicit naming and traceability for future reviews and audits.