Vincent Quagliaro is a Machine Learning Engineer with 11 years of software experience and 3+ years focused on building production ML models and MLOps platforms. He designs and operates scalable model serving infrastructure and developer-friendly ML pipelines, having implemented MLOps patterns at companies like Airtasker and built decision-engine frameworks for enterprise insurers. Comfortable across the full stack, he blends TensorFlow recommender systems, Kubernetes/Seldon, AWS SageMaker/CloudFormation and FastAPI to turn experiments into monitored, observable production services. He’s led and mentored teams, improving ML ergonomics and deployment reliability while keeping a Lean, product-first approach. A former solo traveler who spent a year across 12 Asian and Middle Eastern countries, he brings curiosity and pragmatic cross-cultural experience to engineering and stakeholder collaboration.
10 years of coding experience
6 years of employment as a software developer
Lycée Chaptal
Master of Science - MS, Machine Learning, Robotics and Signal Processing, Master of Science - MS, Machine Learning, Robotics and Signal Processing at CentraleSupélec
Baccalauréat, Baccalauréat at Lycée N. Dame de la Compassion
Contributions:6 PRs, 11 pushes, 3 branches in 1 day
deep-learningpytorchcaffemachine-learning
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Vincent Quagliaro - Machine Learning Engineer at Mutinex