Engineering Highlights
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Dual-Version Engine: Architected a hybrid system supporting both Multipart/form-data (V1) for traditional uploads and JSON with Base64 (V2) optimized for modern mobile apps.
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Deep Learning Pipeline: Utilizes neural networks to generate unique 128-point biometric maps per face, ensuring accurate matches even under variable lighting.
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Industrial Scalability: Engineered to manage databases of 2,000+ faces (implemented at Mexico City International Airport) while maintaining system stability through real-time resource monitoring (CPU/RAM).
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Anti-Spoofing & Security: Integrated Liveness Detection mechanisms that require real-time user actions (blinking, head movements) to prevent fraud via photos or videos.
