Project details

Evolve Simulation is a high-performance Industrial Computational platform engineered to solve a critical bottleneck in fashion-tech: the time-intensive rendering of complex cloth physics. The architecture orchestrates a hybrid CPU/GPU processing pipeline to automate the simulation and visualization of high-fidelity digital garments. This project serves as a technical benchmark for 8x performance optimization and the implementation of secure, unattended batch-processing workflows for enterprise-scale simulations.

Key Systems Architecture

Hybrid Compute Orchestration: Architected a proprietary rendering engine that efficiently distributes computational tasks between CPU and GPU clusters, resulting in a verified 8x increase in real-time performance over legacy systems.
Automated Simulation Pipelines: Engineered a robust automation layer using Python scripting to orchestrate complex cloth physics within Blender, enabling high-velocity R&D cycles without manual intervention.
Enterprise Batch Processing: Designed a deterministic batch-rendering logic that allows for the simultaneous configuration and overnight processing of multiple simulations, eliminating the need for constant human oversight.
Secure Frontend & DRM Integration: Developed a high-performance Unity-based interface featuring custom-built security layers and anti-piracy measures to protect industrial intellectual property.
Multi-Fabric Physical Intelligence: Implemented a modular physics framework to simulate the unique drapes and dynamics of diverse fabric types, ensuring anatomical and physical accuracy for digital twin applications.

Technical Leadership & Ownership
As the Technical Director & Systems Architect, I spearheaded the end-to-end development of this high-performance rendering stack:

Core Logic Engineering: Co-authored the underlying rendering and automation features using C# and Python, focusing on cross-platform performance and systemic stability.
Systemic Optimization: Led the testing and debugging phases, utilizing data-driven profiling to maximize hardware throughput and minimize rendering latency.
Security & IP Governance: Directed the integration of proprietary anti-piracy protocols within the software architecture to ensure enterprise-grade security.
Multi-Disciplinary Team Orchestration: Facilitated the technical alignment between a 5-person team of developers and artists, ensuring a production-grade release within a 6-month commercial window.

System Architecture
Languages: C# & Python
Engine: Unity & Blender
Optimization: Hybrid CPU/GPU

Project Lifecycle
Duration: 6 Months
Launch: Oct 2019
Phase: Enterprise Software Launch
Target: Industrial Digital Twin / Fashion-Tech

Technical Ownership
Technical Director
Lead Systems Architect
Performance Specialist

Evolve Cloth Simulation

Project details