IT Infrastructure Engineer & AI Agent SDLC Orchestrator
Bridging Infrastructure Engineering and AI-Augmented Development. Human judgment drives every successful project.
A forward-thinking IT Systems Engineer and AI-Native Developer. I bridge traditional infrastructure operations with next-generation multi-agent SDLC orchestration workflows.
Bridging Infrastructure Engineering and AI-Augmented Development. Human judgment drives every successful project.
Native Rust 2024 Edition MCP server & Autonomous Orchestrator delivering AI agent guidance via a 279-skill catalog with local ML vector search, universal in-engine token optimization, persistent architecture memory, and multi-session isolation — over Stdio transport. Compatible with Antigravity, Claude, Cursor, VS Code, Gemini CLI, OpenCode, and 9+ IDEs.
An offline-first Android health ecosystem integrating Google Health Connect, AI medical RAG, and multi-tier sync — successfully defended as a UIT graduation thesis.
Architected and deployed an enterprise-grade NAS storage solution for centralized data management across the manufacturing plant. Configured Windows Server Domain Controller with Active Directory, DNS, and DHCP services. Designed and implemented relational databases to support localized factory operations based on technical specifications from parent headquarters.
Designed and implemented secure Site-to-Site VPN connections between multiple factory sites, enabling private, encrypted data synchronization across the corporate network. Configured routing policies, tunnel negotiation, and failover to ensure 99.9% uptime for inter-factory communication.
Planned and executed a comprehensive CCTV deployment across the factory: surveyed site layouts, determined optimal camera positions, routed structural cabling (network and power), configured NVR recording schedules and retention policies, and integrated the system into the existing network infrastructure for centralized remote monitoring.
Designed and developed custom software applications to streamline workflows across multiple company departments. Analyzed departmental requirements, architected database schemas, and directed AI-assisted development to produce production-grade utilities for inventory tracking, report generation, and operational data management.