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Avinash Pancheneni
Mid-level Machine Learning Engineer specializing in fraud detection and LLM applications
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About
Unreal Engine UI engineer focused on scalable, production-ready UI architecture (C++/Slate/UMG/CommonUI) with strong designer enablement via decoupled, interface-driven patterns and MVVM. Demonstrated measurable performance wins: replaced 200+ per-frame Blueprint bindings to cut UI prepass/paint from 4.2ms to 0.5ms and reduced VRAM by ~120MB using texture streaming proxies.
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Key Strengths
- Built production-ready UE5 UI systems with C++ logic and UMG visuals (animations/styling)
- Decoupled UI architecture using interface-driven communication and dynamic multicast delegates
- Implemented CommonUI framework patterns: single source of truth for input, stack-based navigation, hybrid input, safe zones
- MVVM skill tree system with C++ dependency/unlock logic and designer-bound viewmodel properties
- Improved UI frame time by replacing 200+ per-frame Blueprint bindings with delegate-driven C++ updates (prepass/paint 4.2ms -> 0.5ms)
- Reduced UI VRAM footprint by ~120MB using texture streaming proxies for icons
- Strong UI iteration workflow with designers ("live-link" workflow) and container-based responsive layout approach
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