About Me
I'm Eddy Hidayat, a Singapore-based engineering leader, solutions architect, and AI practitioner.
I've spent more than 20 years building software and more than 10 years leading engineering teams, platform delivery, and technical strategy. My work spans product environments, consulting engagements, and internal platform builds where reliability, architecture clarity, and execution discipline matter.
Today, my strongest focus is applied AI: AI-ready platform design, agentic workflow automation, local AI products, and practical systems that connect business goals with robust engineering delivery.
Experience & Focus
- Platform Architecture: Cloud-native platforms, microservices, event-driven systems, and delivery workflows designed for long-term maintainability.
- Leadership & Team Building: Led distributed teams across frontend, backend, QA, and DevOps, with a track record in onboarding, engineering standards, and execution discipline.
- Applied AI & Agentic Workflows: Machine learning pipelines, local AI product development, and agent-driven automation built for practical operational use.
- Transformation & Delivery: Turning ambiguous business goals into technical roadmaps, scalable architectures, and systems teams can actually ship and run.
I work best where engineering leadership, architecture, and modern AI capabilities need to come together in a single role.
Core Technologies
Frontend
React, React Native, Next.js
Backend
TypeScript (NestJS), Java (Spring Boot), PHP (Laravel), Node.js
Cloud & DevOps
AWS, GCP, Kubernetes, Terraform, Docker, CI/CD
Databases
PostgreSQL, MongoDB, MySQL
AI & Automation
ML pipelines, Whisper-based workflows, local AI orchestration, agentic automation
Delivery Tooling
Kafka, RabbitMQ, GitHub Actions, Jenkins, architecture documentation
Career Highlights
- Built and led a 13-person engineering team across frontend, backend, QA, and DevOps while scaling platform delivery at Creadits.
- Co-founded and architected Artstash, a cloud-native digital asset platform integrating Adobe After Effects, Unreal Engine, and distributed workflow systems.
- Built applied AI and agentic systems, including local AI product workflows, machine learning pipelines, and secure agent-driven operational automation.
- Delivered measurable operational outcomes, including infrastructure cost reduction, workflow efficiency gains, and faster engineering onboarding.
Current Interests
- Applied AI systems that solve operational problems instead of producing demo-only novelty.
- Local-first products, self-hosted tooling, and practical automation with strong control over reliability and privacy.
- Smart-home and ESP32 projects that keep my engineering work grounded in real-world workflows.
- Piano and guitar when I want a different kind of problem to solve.
- Hiking and the occasional 5km run when I need to clear my head.
Get in Touch
The best way to reach me is on LinkedIn, especially for engineering leadership, platform architecture, or applied AI conversations.