AWS Cloud Support Engineer and OpenSearch SME with a product development background across mobile apps, backend systems, and practical AI-assisted development workflows.

• OpenSearch troubleshooting, customer issue analysis, and analytics support on AWS
• AWS-based cloud operations and technical support
• MCP-based workflow automation that connects Slack, Outlook, wiki knowledge, ticket search, and local tools
• Designed support-agent personas, source-grounding rules, official URL validation, similar-document/ticket search, and answer verification checks
• Built monitoring workflows for escalation decisions such as engineer handoff, Slack DM follow-up, manager escalation, and ticket severity review
• Built Slack bot workflows for case aging triage: LLM-based case summaries, missing-step detection, internal-note review, escalation-readiness checks, and guidance for engineer/manager follow-up
• Persona-based customer response drafting and customer issue reproduction automation
• Jekyll-based documentation and portfolio publishing
• Mobile and backend product development across Android, iOS, PHP, Java, and Python
• AI workflow tooling for session search, handoff notes, portfolio maintenance, and developer productivity

• codex-resume: Windows-friendly TUI for searching and resuming OpenAI Codex CLI sessions
• claude-resume: LLM-summary-based TUI for finding and continuing Claude Code sessions
• linkedin-posting-mcp: unofficial local MCP server for user-approved LinkedIn posting workflows
• claude-toolkit: reusable AI-agent workflow notes and skills
• Engineering Notes: portfolio, technical notes, and AI workflow write-ups

I started from mobile app and backend product development, then expanded into image processing research, data engineering, cloud analytics, and AI-assisted engineering workflows. My current interest is turning repeated debugging, customer support, documentation, and handoff work into tools and repeatable operating rules.