Aron Cserveni

AI/ML Engineer at Morrison Rose Corp.

Led Python and TensorFlow-based facial verification models for a smart reception system, achieving 0.1% FAR and processing 2M+ requests to date. Deployed models on edge devices for near real-time inference. Fine-tuned pre-trained language models to power personalized concierge interactions, remembering visitor preferences and conversations, reducing staff workload by 30%. Deployed language model inference services on Google Cloud Run using Docker. Monitored performance and iterated on model optimization and deployment.

AI/ML Engineer at Morrison Rose Corp.

Designed and deployed Python-based AI/ML solutions for a smart reception system. Built facial verification models using TensorFlow, achieving 0.1% FAR and handling over 2 million requests. Deployed edge-device models enabling near real-time inference. Fine-tuned pre-trained language models to power personalized concierge interactions, reducing staff workload by 30%. Implemented ML inference services on Google Cloud Run via Docker. Monitored performance and iterated on model improvements.