Muhammad – Unreal Engine 5, C++, C#

This project integrated Unreal Engine’s Collab Viewer-style collaboration toolset into an existing production Unreal project and made it reliable for dedicated-server multiplayer. The goal was to bring multi-user collaboration features (annotations, measurements, bookmarks, and runtime asset loading) into a real project architecture.

• Integrated the Collab Viewer toolset into a production UE5.5 project with dedicated-server multiplayer support.
• Refactored Pawn, PlayerController, GameMode, and PlayerState architecture for replication-safe collaboration tools.
• Ensured all tools use robust RPC and replication flows via an authoritative dedicated server.
• Delivered an annotation suite (text, strokes, erase) with reworked tick/trace logic for the production setup.
• Built a measuring tool with add/edit/delete, metric/imperial units, replication, and full UI integration.
• Implemented bookmarks with UI lists, teleport (position + rotation), and resolved replication edge cases.
• Made the Datasmith runtime “select and load” network-safe so asset loading stays consistent across all clients.
• Wired all collaboration tools into the production UI and fixed remaining replication bugs in real server–client testing.
• Migrated Collab Blueprints into the main project, aligned project settings, and fixed collision/compile/reference issues.
• Integrated tool commands into the existing UI for multiple pawns and ensured correct routing when switching pawns.

It's an MMA/combat game prototype built in Unreal Engine 5, developed as a third-person action title inspired by classic fighting and wrestling games such as Tekken and WWE.

• Led delivery of core combat systems: movement, attacks, combos, camera, AI, and visual feedback.
• Built a rule-based combo framework with cancels and tight Montage/Notify timing.
• Shipped a dynamic combat camera focused on readability under pressure and cinematic framing.
• Developed AI opponents with combat-aware logic for pressure, spacing, defense, and reactions.
• Implemented material-based bruising and sweat tied to stamina and damage for stronger feedback.

It's a production-focused pipeline built to automate large-scale terrain ingestion into Unreal Engine 5. The goal was to eliminate slow, manual editor workflows when importing and assembling dozens of landscape tiles from external datasets.

• Built an end-to-end terrain automation pipeline (Python + Unreal C++ plugin) to remove manual landscape setup.
• Cut batch terrain import time from about 60 minutes to 5 minutes for roughly 45 tiles.
• Engineered deterministic, repeatable terrain generation with automated foliage placement.
• Designed the system for production workflows with frequent regeneration and large terrain datasets.

It's a fast-paced top-down shooter developed in Unity, designed as a PC action title, and released publicly on Steam. The project focused on responsive combat, scalable enemy AI systems, and extending engagement through cloud-connected companion features.

• Owned end-to-end gameplay architecture for a Steam-released top-down shooter, delivering modular combat, AI, and progression systems.
• Designed scalable enemy AI with distinct behavior classes for dynamic, replayable encounters.
• Built flexible weapon and power-up systems supporting multiple upgrade paths without refactoring.
• Developed and integrated an AWS-connected companion app to boost player engagement beyond PC.
• Optimized performance across diverse PC hardware for stable frame rates at launch.