Ary Setya Pambudi
Turning complex business problems into scalable technology solutions through solution architecture, AI systems, backend engineering, and product execution.
About Me
I started as a software engineer focused on backend systems and production reliability. Over five years, my work expanded from building microservices and distributed systems into designing AI-enabled products and reasoning about architecture at a system and business level.
At Packet Systems, I contribute to CrampasAI, an enterprise AI product spanning backend engineering, AI workflow design, and on-premise SaaS architecture. Before that, I built scalable microservices for Telkomsel's MyOrbit platform serving millions of users across Indonesia.
My work now increasingly sits at the intersection of engineering, architecture, product thinking, and business outcomes. I focus on translating complex requirements into decisions that teams can build on and organizations can rely on.
Technology That Solves Business Problems
From strategy to execution, I work at the intersection of business objectives, architecture decisions, and engineering delivery.
Technology Strategy
Translate business objectives into technology initiatives, priorities, and execution plans that teams can act on.
Solution Architecture
Design scalable solutions that balance complexity, cost, security, performance, and maintainability without over-engineering.
AI & Automation
Identify practical opportunities where AI and automation create measurable product value, not just technical novelty.
Product & Engineering
Bridge product requirements and engineering execution to deliver reliable systems that are observable, maintainable, and production-ready.
Experience
Building real products through hands-on engineering work, with growing focus on product thinking and leadership
Product Engineer at Packet Systems Indonesia
Product Engineer responsible for building CrampasAI, an enterprise AI platform that enables organizations to leverage knowledge, automate workflows, and derive actionable insights.
- •Designed and implemented hybrid AI workflows that combined rule-based logic with generative AI for production use cases
- •Contributed to backend and product implementation to improve system scalability and support long-term product growth
- •Led implementation research for on-premise AI SaaS requirements, including security and compliance considerations
- •Built AI feedback loops and prompt-related workflows for continuous product improvement
Software Developer at Ako Media Asia (Telkomsel MyOrbit)
Core developer on MyOrbit.id, Telkomsel's internet hotspot platform serving millions of users across Indonesia.
- •Designed and implemented scalable microservices using Go with Domain-Driven Design (DDD)
- •Built responsive web (React) and mobile (React Native) applications with robust API contracts
- •Established Root Cause Analysis practices and comprehensive testing, reducing production incidents by 35%
- •Integrated modem hardware APIs with backend services for seamless connectivity management
- •Implemented Event-Driven Architecture for real-time data synchronization across services
Case Studies
Problems solved through architecture decisions, engineering execution, and product thinking
Personal Projects
Building projects and products
RAG Systems
Production RAG platform with async ingestion and pgvector
Model Product Vision
Object Detection system using YOLOv8 for detecting retail products in images.
Semantic Cluster Sbert
Text clustering using sentence transformers and embeddings
Nesthub
Private family asset management platform
Assistant
Tools assistant platform
Sistem Management Panti Asuhan
Orphanage management system for tracking children, donations, and campaigns
Work Projects
Professional work with companies and clients
CrampasAI
Enterprise AI platform combining rule-based systems with generative AI
Telkomsel MyOrbit
Internet platform serving millions with modem hardware integration
How I Think
The mental frameworks that guide decisions across architecture, AI, product, and engineering.
Business First
Technology should solve a meaningful business problem rather than exist for its own sake. The first question is always: what outcome are we trying to create?
Architecture With Trade-offs
There is rarely a perfect architecture. Good decisions balance scalability, complexity, cost, security, and delivery speed — and communicate those trade-offs clearly.
AI With Purpose
AI should create measurable value rather than simply being added because it is technically interesting. The question is always: does this actually improve the outcome?
Build for Operations
A production system must be observable, maintainable, secure, and operationally reliable. Shipping is the beginning, not the end.
People & Communication
Technology decisions need to be communicated in language understood by product, business, and engineering stakeholders. not just technically correct.
Technology Domains
Technology understood as systems and domains, not just a list of tools
Architecture
System design and structural patterns
AI & Data
Intelligent systems and data platforms
Cloud & Infrastructure
Cloud platforms and operational tooling
Engineering
Languages, frameworks, and data stores
Let's Connect
I am open to opportunities where product judgment, backend execution, and AI delivery are equally important.