OSONDU IZUCHUKWU CHARLES

Used Google EWOQ and AI annotation tools to tag and classify large-scale image datasets for ML training.

Supported automation of repetitive labeling tasks, increasing annotation throughput.

Designed and deployed scalable AWS-based infrastructure using Terraform, automating provisioning to ensure repeatability and reliability.

Implemented CI/CD pipelines with GitHub Actions and Jenkins, reducing deployment time by 60% and improving release reliability.

Containerized applications with Docker and deployed them on Kubernetes (EKS) for scalable and fault-tolerant microservices.

Configured and managed S3 buckets for secure data storage, access control, and static website hosting.

Designed and enforced IAM policies based on least-privilege principles, enhancing overall cloud security posture.

Deployed AWS 2-Tier Architecture and launched an E-commerce web application in Docker using Terraform and Jenkins within AWS infrastructure.

Integrated Datadog, Prometheus, and Grafana to monitor performance metrics and system health, enabling proactive incident response.

Participated in incident response and troubleshooting, ensuring high uptime and rapid recovery during production issues.

Leveraged AI tools to automate image and video annotation, significantly improving task efficiency and accuracy.

Maintained high data quality standards through rigorous validation and error-checking processes.

Documented workflows and optimized annotation methodologies in collaboration with ML engineers and data scientists.

Applied critical analysis to refine labeling strategies, directly contributing to AI model training pipelines.