Skills & Expertise

AI & Agentic Development

CLI-driven agent delegation, parallel sub-agent execution, MCP, orchestration, and responsible AI delivery

Claude Code · OpenAI Codex · Parallel Sub-Agent Execution · Prompt Engineering · AI-Assisted Planning & Decomposition · AI Debugging & Refactoring · Model Context Protocol (MCP) · Multi-Agent Orchestration · Context Engineering · Human-in-the-Loop Workflows · Evaluation & Verification

Core Technologies

Primary languages and application frameworks

React · React Native · Next.js · TypeScript · JavaScript

Styling & UI

Responsive interfaces and reusable design systems

Tailwind CSS · shadcn/ui · Responsive UI · Reusable Component Architecture

Backend & Data

APIs, authentication, and application data

Node.js · REST API Integration · MongoDB · PostgreSQL · Supabase · Authentication & Data Flows

Workflow

Delivery, collaboration, and engineering tools

Git & GitHub · JIRA & Confluence · Postman · Figma · Vercel · Agile Scrum

How I use AI in daily delivery

I work from the command line, delegating implementation, debugging and documentation to sub-agents that run in parallel. This covers breaking requirements into tasks, scaffolding and refactoring components, comparing API payloads, generating test cases, and producing handover documentation, with human review kept at decisions that affect quality and product behavior.