Victor Nweze
Mlops Engineer - Aws & Azure @Rovar Technologies
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WORK HISTORY
Mlops Engineer - Aws & Azure @Rovar Technologies
London, GB
Design and implement AI vision pipelines to deliver high-precision skill assessment systems, leveraging deep learning for advanced candidate evaluation.Optimize deep learning models for candidate-job matching, enhancing placement success rates with cutting-edge techniques.Develop and deploy scalable ML pipelines using Azure AI Foundry and AWS Sagemaker streamlining model deployment and monitoring.Integrate APIs and automate workflows to ensure seamless data flow, reducing manual effort and enabling efficient test and evaluation processes.Use IaC and CI/CD methodologies to build robust, scalable, and maintainable AI systems, ensuring rapid iteration and deployment.Analyze performance data to refine deep learning models, providing actionable insights for continuous system improvement.Innovate in AI-driven solutions to revolutionize skill assessments and improve job matching accuracy, setting new benchmarks in candidate evaluation.
EDUCATION
Covenant University
Bachelor of Science - BS, Computer and Information Sciences and Support Services
University of Northampton
MSc Computing, Network Engineering
ABOUT VICTOR NWEZE
Machine Learning Engineer with six years of experience in building and deploying scalable AI solutions while optimizing data engineering processes. Skilled in utilizing platforms such as AWS SageMaker, AWS Bedrock, and Azure AI Foundry, with deep expertise in Linux, SQL, Docker, PyTorch, and FastAPI to improve model accuracy and streamline operations. Driven by a passion for AI-driven innovation, with a focus on transforming skill assessments and pushing the boundaries of machine learning for meaningful impact.
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