Metrics
Impact framed as systems delivered, workflows automated, and infrastructure kept running in production.
10k+
Users supported through campaign, commerce, and service platforms.
20+ hrs/mo
Saved by automating reporting, content, and operational workflows.
Multi-service
Production infrastructure managed across web apps, APIs, dashboards, and CMS-driven systems.
Core Technologies
Technologies I use to assemble product-facing systems and internal platforms.
Next.js
NuxtJS
React
TypeScript
Bun
Angular
NestJS
Golang
REST API
WebSocket
LINE Platform Integration
WordPress
Strapi
MySQL
PostgreSQL
MongoDB
Redis
Docker
GitHub Actions
CI/CD
Nginx
DigitalOcean
Cloudflare
OpenAI API
LLM Integration
n8n
AI Workflow Automation
Engineering Strengths
Strengths centered on building stable systems, not just implementing tickets.
System Architecture
Backend Platform Design
Database Design
Performance Optimization
Cloud Deployment
Legacy Refactoring
Production Debugging
Business Workflow Design
Experience
Senior-level ownership across backend platforms, AI-enabled systems, internal tooling, delivery workflows, and production reliability.
TWF Agency — Full-Stack Developer / Backend Engineer
Dec 2019 – Present
Lead backend and platform-oriented delivery across client products, internal systems, automation workflows, and production infrastructure.
- Designed and evolved backend platforms that support multiple product surfaces, operational workflows, admin tools, integrations, and reporting use cases.
- Worked across architecture, API design, data modeling, system boundaries, and deployment strategy to turn growing product requirements into maintainable services.
- Integrated AI-assisted workflows into production systems with structured outputs, review steps, evaluation logic, and safeguards designed for repeatable business use.
- Built governance and lifecycle patterns around prompts, generated artifacts, approvals, versioning, and runtime behavior so AI-enabled features remain traceable and controllable.
- Coordinated backend and frontend delivery across shared contracts, integration points, rollout sequencing, and handoff documentation to reduce implementation gaps between teams.
- Improved engineering reliability through automated checks, regression coverage, cross-platform validation, CI quality gates, and production-focused debugging.
- Continued to own infrastructure and runtime concerns across Dockerized services, cloud deployments, reverse proxies, databases, and operational recovery scenarios.
PIC Phuket — Developer
Mar 2017 – Dec 2019
Built the early product engineering foundation across web, mobile, and business software environments.
- Delivered application features for real operational workflows, translating business requirements into usable product functionality.
- Contributed to customer-facing and internal tools that supported day-to-day service operations and product experimentation.
- Developed broad implementation experience across frontend, backend, data, and integration work that later grew into platform-level ownership.
Selected Engineering Projects
Public-safe examples of the kinds of systems I design: scalable platforms, operational tooling, AI-enabled workflows, and reliability-focused backend architecture.
AI-Enabled Workflow Platform
Designed a backend platform for multi-step AI-assisted workflows where generated outputs move through validation, review, versioning, and downstream business processes instead of being treated as isolated model responses.
Focus: workflow orchestration, structured outputs, artifact lifecycle, approval flows, traceability, production controls.
Model Evaluation and Quality Gate System
Implemented evaluation patterns for AI-generated results with repeatable scoring, controlled transitions, regression protection, and environment-aware validation before outputs are accepted into later workflow stages.
Focus: evaluation pipelines, quality gates, reproducibility, regression safety, controlled activation.
Context-Aware Document and Chat Workflows
Worked on systems that connect uploaded files, project context, generated analysis, and conversational interfaces so users can move from source material to grounded outputs without losing document awareness.
Focus: file grounding, context packaging, source-aware generation, analysis freshness, user-facing workflows.
Campaign and Operations Platforms
Built reusable systems for registration, verification, rewards, reporting, CMS workflows, staff operations, and campaign administration across multiple business use cases.
Focus: operational tooling, validation flows, admin systems, reporting, reusable product mechanics.
Data, Reporting, and Internal Tooling
Created dashboards, exports, analytics services, and support tooling that consolidate operational data and reduce the need for manual engineering intervention in recurring business processes.
Focus: backend APIs, normalization, reporting pipelines, internal platforms, workflow efficiency.
Production Platform Reliability
Improved deployment and runtime reliability across multi-service systems through containerization, readiness checks, automated verification, environment validation, and targeted recovery paths.
Focus: Docker, CI/CD, deployment safety, readiness verification, cross-platform testing, production recovery.
AI & Automation Work
Production-oriented AI work centered on control, evaluation, integration, and workflow reliability rather than standalone demos.
LLM Workflow Orchestration
Built prompt-driven workflows that combine business inputs, model calls, structured outputs, validation, approval steps, and downstream actions into repeatable operating processes.
AI Governance and Versioned Configuration
Designed patterns for managing prompt configuration, activation state, version history, review binding, and environment-specific behavior so AI features can evolve without losing operational control.
Grounded Analysis and Regeneration
Worked on generation flows that remain aware of source files and updated project data, helping regenerated outputs reflect the latest available context instead of stale intermediate results.
Automation Pipelines
Connected APIs, CMS data, reporting systems, workflow engines, and AI services to automate repetitive operational work while preserving review points where human judgment is still required.
