OLUWADARE TOBI JAYEOLA

Execute high-complexity AI training tasks for frontier model pipelines, delivering consistent, rubric-aligned outputs with high attention to detail.

Perform structured AI evaluations and data collection to systematically improve model reasoning capabilities and alignment.

Document technical reasoning and evaluation workflows to ensure reproducible, high-quality training inputs.

Nexus AI Gateway: Engineered a high-performance routing and failover gateway for OpenAI, Anthropic, and AWS Bedrock; implemented token-bucket rate-limiting and Redis caching, reducing repeat latency by 50%.

Flow Pilot: Built an automated GitOps promotion and deployment engine interfacing with GitHub Webhooks, reducing manual environment propagation and integrating real-time Slack/notification webhooks.

DARE (DevOps Automation & Resource Engineering): Designed modular Terraform blueprints for secure, multi-tier AWS environments (VPC, ECS, RDS, CloudWatch); implemented GitHub Actions pipelines with Trivy/Tfsec security scans.

Designed and maintained 4 automated CI/CD pipelines using GitHub Actions and Jenkins, reducing deployment inconsistencies by 30% and improving release speed by 25% across cloud-based applications.

Automated multi-tier AWS environment provisioning with Terraform and CloudFormation, decreasing infrastructure provisioning time from hours to under 15 minutes with zero configuration drift.

Implemented a comprehensive observability stack using Prometheus, Grafana, ELK Stack, and AWS CloudWatch, achieving 40%+ MTTR reduction and reducing alert noise by 35%.

Containerized and orchestrated 5+ microservices with Docker and Kubernetes (ECS/EKS), maintaining 99.9% container uptime and managing image builds, rolling deployments, and autoscaling.

Administered Ubuntu servers across 3 environments, ensuring 99.99% system reliability through user management, security hardening, patching, and performance monitoring.