ABHISHEK AKODIYA

About

Unreal Engine gameplay/systems developer who owned core systems like NPC AI (AI Controller/Behavior Trees) and loot/itemization/economy, plus progression/difficulty frameworks for a shipped title. Notably drove mobile performance/packaging work, citing a ~75% reduction in AAA Android export size to get a high-end console-quality build under 500MB, including a custom Photoshop macro pipeline to process a massive texture library. Also prototyped advanced MetaHuman features (secure WebSocket, speech/visemes, expressions) using Blueprints and Unreal Editor Python utilities.

Key Strengths

• Owned end-to-end NPC AI pipeline using AI Controller + Behavior Trees
• Designed scalable modular NPC architecture using parent/child actor classes
• Gameplay balancing via iterative playtesting and QA feedback (difficulty tuning)
• Mobile optimization impact: reduced final AAA Android export size by ~75% (targeting <500MB)
• Large-scale asset optimization workflow (hundreds of thousands of textures) using custom Photoshop macro/action pipeline
• Diagnosed device-specific crashes using telemetry (Vulkan/AMD issues)
• Blueprint prototyping with modular functions/events designed for reuse and later maintainability
• Prototyped MetaHuman systems including secure WebSocket, speech/visemes, and animation/expression control

Experience

Education

Awards

• First Position - Soap Carving - Blitzschlag '17 - Malaviya National Institute of Technology, Jaipur (February 2017)
• First Position - Best Obstacle Avoider Robot - Robotech labs & TechFest IIT Bombay workshop - Malaviya National Institute of Technology, Jaipur (September 2014)

Skills

Languages