AI Deploy Network
HS

AI Deploy Network / Builder

Hary Setiawan

DevOps SRE, AI Enhanced Developer

IndonesiaDenpasarSeniorAvailable Now

Published evidence

1 AI Deployment

1 publicly identified

01

About Hary

Senior DevOps & SRE Specialist bridging cloud infrastructure with AI integration. Focused on building resilient, scalable systems, automated CI/CD pipelines, and high-performance backend architectures. Expertise spans Kubernetes, AWS, Go, Python, and integrating LLMs/AI agents into production environments.

Professional profile

Location
Denpasar, Indonesia
Time zone
Asia/Makassar
Work mode
Hybrid, Remote, On-site
Availability
Available Now
AI experience
0+ years
Industry experience
5+ years
Languages
Indonesian, English
Working hours
09.00 - 18.00 UTC + 8
Typical response
Within a few hours
Preferred engagement
Small (individual or single team)
Travel
International travel
Available in
Indonesia, Singapore, Australia

02

Proven on the network

Implementation records and publicly available work, where published.

1 AI Deployment delivered, including 1 publicly identified implementation available to inspect.

Reported business outcomes
  • Hours Automated4 hours

    period not specified

    Automated 4 hours (period not specified)

  • Cost SavingsUSD 300

    period not specified

    Reduced operating costs by USD 300 (period not specified)

Builder-reported outcomes, recorded on deployment and case study records that AI Deploy Network reviewed before publication. AI Deploy Network does not currently capture a measurement basis or calculation methodology for reported outcomes, so none is shown.

03

What Hary builds

Implementation domains listed on this profile. Evidence-supported items are identified separately below.

Specialisations

Business Intelligence

Forecasting & Predictive Modelling

RAG Systems

Builder-listed deployment types

  • AI Agent
  • Knowledge Assistant
  • RAG System

04

AI Deployments

Real AI implementations demonstrated through evidence.

01 / AI DeploymentPublished record

RAG Powered Warehouse Personal Assitance

Ranna Assistant is a AI Agent that was build to support operational of Ranna Cosmetic especially on warehousing, stock management, recieveing and purchasing order

4 hours automated / per day · USD 300 cost savings / per month

Fashion & Apparel · AI Agent · Knowledge Assistant · RAG System

View Deployment

05

Implementation capabilities

Evidence-supported means linked to a published Deployment or Case Study; other capabilities are Builder declared.

Evidence-supported

  • AI Agent1 record
  • Knowledge Assistant1 record
  • RAG System1 record

Builder declared

  • Business Intelligence
  • Forecasting & Predictive Modelling
  • RAG Systems

06

Technology

Technologies listed by the Builder, distinguished by published evidence.

Evidence-supported

  • DeepSeek V31 record
  • PostgreSQL1 record
  • Python1 record
  • TypeScript1 record

Builder declared

  • Amazon Bedrock
  • Amazon ECS
  • Amazon EKS
  • Claude 4.5 Sonnet
  • Claude Code
  • Cline
  • DeepSeek R1
  • Docker
  • Go

07

Industry experience

Published Deployments support the listed counts. Other industries are Builder declared.

Fashion & Apparel

1 published Deployment

08

Trust & verification

A closer look at how this profile and its evidence are reviewed.

Verified Builder

Published evidence is reviewed against the AI Deploy Network Evidence Standard.

How verification works
Verified

Verified Builder

Independently reviewed by AI Deploy Labs against the platform Evidence Standard.

How this is verifiedWhat the platform has established, and what remains builder-declared.
Identity and organisation
Identity checks confirm that the person presenting this profile controls the account and the professional identifiers attached to it, such as a LinkedIn profile. Organisation membership is confirmed by the organisation, not self-declared by the builder.
AI Deployments
An approved AI Deployment is an implementation record the builder submitted and the platform reviewed against the Evidence Standard before publication. Approval confirms the record is complete, coherent and consistent with the supporting material provided — it is not an audit of the client's systems.
Business outcomes
Outcome figures are recorded by the builder on the deployment or case study that produced them, and are reviewed at publication. Aggregates shown on this profile are calculated from those approved records only.
Evidence
Supporting evidence comes from the records the builder published on this platform: approved AI Deployments, published AI Case Studies, verification outcomes and organisation participation.
Currency
Older evidence continues to count and is never removed. Recency is presented separately through Professional Currency so that current expertise can be assessed alongside historical work.
Traceability
Every figure on this profile can be followed to the record that produced it. Open the linked AI Deployment or AI Case Study to read the outcome exactly as it was reported.

The platform does not independently audit client systems or financial records. How this is verified

Professional record and further evidence

Client Portfolio

Portfolio started

  • Ranna Cosmetic

    Ranna Assitant • Fashion & Apparel

    Indonesia2026

    Developed Ranna Assistant, an AI-powered inventory agent integrated with Olsera POS to streamline warehouse receiving and automated stock replenishment for Ranna Cosmetic. By analyzing historical internal sales data rather than external trends, it calculates daily sales probability forecasts and identifies critical items needing reorder to optimize stock levels and accelerate operational workflows.

Ready to discuss your AI implementation?

Tell Hary Setiawan what you are trying to automate and the outcome you need. Your message goes directly to the builder, with a copy kept in your Organisation Workspace.