
Over three months, François Dassonville developed and refined core gameplay systems for the OVpk/DungeonCrawlerGrp2 repository, focusing on enemy archetype integration, level expansion, and in-game economy balancing. He used Unity and C# to implement new enemy behaviors, design modular scene templates, and overhaul reward structures, ensuring maintainable asset management and rapid iteration. His work included scripting a cheat console for QA and demonstration purposes, as well as introducing data-driven parameters like bubbleDurability to support progression gating. By reorganizing assets and streamlining configuration, François delivered features that improved exploration flow, player engagement, and the reliability of both development and testing processes.

June 2025: Delivered key gameplay and economy enhancements for OVpk/DungeonCrawlerGrp2, including Salle15 exploration expansion, refined test-level integration, a comprehensive economy and shop gating revamp with a new bubbleDurability parameter, and a jury-focused cheat console. No distinct critical bugs were filed; all work centered on feature delivery, balance tuning, and QA readiness. Business value realized: smoother exploration flow, deeper progression pacing, more sustainable monetization through gating and adjusted rewards, and reliable tooling for demonstrations. Technologies demonstrated: asset reorganization, level testing integration, data-driven balance changes across multiple commits, and in-game command tooling for demonstrations.
June 2025: Delivered key gameplay and economy enhancements for OVpk/DungeonCrawlerGrp2, including Salle15 exploration expansion, refined test-level integration, a comprehensive economy and shop gating revamp with a new bubbleDurability parameter, and a jury-focused cheat console. No distinct critical bugs were filed; all work centered on feature delivery, balance tuning, and QA readiness. Business value realized: smoother exploration flow, deeper progression pacing, more sustainable monetization through gating and adjusted rewards, and reliable tooling for demonstrations. Technologies demonstrated: asset reorganization, level testing integration, data-driven balance changes across multiple commits, and in-game command tooling for demonstrations.
Monthly performance summary for May 2025 (OVpk/DungeonCrawlerGrp2). Delivered new gameplay breadth, tightened economy balance, and stabilized project configuration, driving better player engagement and lower risk of release delays. Focused on capabilities that generate immediate business value: expanded exploration content, new enemy threat, upgraded rewards pipeline, and a more predictable in-game economy with clearer asset references. Maintenance work reduced risk of runtime issues and streamlined future iterations.
Monthly performance summary for May 2025 (OVpk/DungeonCrawlerGrp2). Delivered new gameplay breadth, tightened economy balance, and stabilized project configuration, driving better player engagement and lower risk of release delays. Focused on capabilities that generate immediate business value: expanded exploration content, new enemy threat, upgraded rewards pipeline, and a more predictable in-game economy with clearer asset references. Maintenance work reduced risk of runtime issues and streamlined future iterations.
April 2025 monthly summary for OVpk/DungeonCrawlerGrp2. Delivered a set of playable enemy archetypes, an initial playable scene scaffold for rapid iteration, and UI/scene management refinements to support ongoing gameplay development in DungeonCrawler. Focused on expanding combat variety, asset-driven configuration, and maintainable scene templates to accelerate QA and feature parity across levels.
April 2025 monthly summary for OVpk/DungeonCrawlerGrp2. Delivered a set of playable enemy archetypes, an initial playable scene scaffold for rapid iteration, and UI/scene management refinements to support ongoing gameplay development in DungeonCrawler. Focused on expanding combat variety, asset-driven configuration, and maintainable scene templates to accelerate QA and feature parity across levels.
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