AI Operations
AI-assisted workflows, prompt systems, support operations, research automation, and model-quality evaluation.
AI Operations Portfolio · Updated June 2026
Computer Engineering graduate building AI-assisted operational dashboards, prompt systems, research workflows, and deployment monitoring projects on a refreshed, security-hardened Next.js stack.
AI-assisted workflows, prompt systems, support operations, research automation, and model-quality evaluation.
Production-style Vercel workflows, deployment telemetry, CI/CD visibility, and release-health monitoring.
Hardened headers, server-side provider calls, request validation, rate limiting, and safe credential boundaries.
Next.js 16, React 19, TypeScript, Tailwind CSS 4, Supabase, OpenAI SDK, and GitHub workflows.
Platform Refresh
Selected Projects
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.
Prompt versioning, benchmarking, workflow organization, agents, traces, and release tracking for AI operations.
Multi-document research workspace for synthesis, cited Q&A, file ingestion, and knowledge extraction.
Cloud operations and deployment observability console for release health, telemetry, incident context, SLO burn, and CI/CD visibility.
Skills
ChatGPT, Claude Code, Codex, prompt engineering, generative AI workflows, OpenAI SDK 6
Next.js 16, React 19, TypeScript 6, Tailwind CSS 4, Supabase, REST APIs
Vercel, Docker fundamentals, Kubernetes fundamentals, CI/CD, deployment monitoring
CSP headers, API validation, rate limiting, npm audit, technical documentation, testing