AI Operations
AI-assisted workflows, prompt systems, support operations, and research automation.
AI Operations Portfolio
Eyitayo Oyedo
Computer Engineering graduate building AI-assisted operational dashboards, prompt systems, research workflows, and deployment monitoring projects.
Cloud Deployment
Production-style deployments, Vercel workflows, monitoring concepts, and release visibility.
Security Awareness
Server-side API handling, authentication concepts, rate limiting, and safe credential boundaries.
Technical Systems
Practical interfaces built with Next.js, Supabase, TypeScript, GitHub, and Tailwind CSS.
Selected Projects
Recruiter-ready builds
Four deployed systems focused on support operations, prompt management, research workflows, and deployment observability.
Role-based support workflows, ticket management, SLA monitoring, deployment observability, and secure server-side AI integration.
Next.jsSupabaseVercelOpenAI SDK
Prompt versioning, benchmarking, workflow organization, agents, traces, and release tracking for AI operations.
Next.jsPrompt EngineeringAI WorkflowsVercel
Multi-document research workspace for synthesis, cited Q&A, file ingestion, and knowledge extraction.
AI ResearchFile WorkflowsTechnical ResearchVercel
Cloud operations and deployment observability console for release health, telemetry, incident context, SLO burn, and CI/CD visibility.
DevOpsObservabilityCI/CDVercel
Skills
Technical direction
AI & Automation
ChatGPT, Claude Code, Prompt Engineering, Generative AI, OpenAI SDKs
Development
Next.js, React, TypeScript, Tailwind CSS, Supabase, REST APIs
Cloud & DevOps
Vercel, Docker fundamentals, Kubernetes fundamentals, CI/CD, monitoring concepts
Professional
Technical research, technical support, communication, documentation, problem solving