Past Work

Global Case Creation System

I helped engineer a global user-created case system: players build cases others can open, tune item odds and visuals, get dynamic pricing from the configured pool, and see how often each case was opened worldwide—backed by Memory Store, databases, and MessagingService for high concurrency.

Player-authored cases with dynamic odds-based pricing, global open counters, and scale-oriented Roblox data and messaging layers
Systems
Case Paradise
Roblox
Updated Apr 2026
UGC & EconomyMemoryStoreData StoresMessagingServiceLive Gameplay

Overview

Global Case Creation System extends Case Paradise beyond curated drops: players author their own cases, choose how they look, stock them with items, and publish them for other players to open. The product goal was to make creation feel straightforward while the backend stayed authoritative, fair, and able to breathe under heavy concurrency.

Creator And Player Experience

  • -Creators pick case presentation and item lines, then tune odds so the case reads honestly to players
  • -Case price derives from the configured item pool and weights so payouts stay economically consistent
  • -Everyone sees how often a case has been opened globally, which reinforces discovery and social proof

Technical Implementation

  • -Server-side validation for authoring, pricing, and open outcomes so clients cannot spoof economy state
  • -Memory Store and database layers split hot global counters and durable case definitions appropriately
  • -MessagingService supports cross-server fan-out where live updates need to propagate without hammering a single datastore

Proof And Why It Matters

  • -Shows UGC economy work that still demands senior multiplayer and data design
  • -Demonstrates scaling patterns beyond one-off event scripts: counters, messaging, and persistence together
  • -Useful proof for teams shipping player-generated monetization or reward content at high CCU

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High-Stakes Projects

Need this kind of delivery confidence on your project?

The strongest fit is work where reliability, scale, or technical risk matters enough that proof and judgment carry more weight than a generic dev retainer.