AI Deploy Network
Ilham Hakim

AI Deploy Network / Builder

Ilham Hakim

AI Operations & Quality Analytics Specialist

IndonesiaSenior

Published evidence

2 AI Deployments

2 publicly identified

1 Case Study

Published implementation narrative

01

About Ilham

AI Operations and Data Analytics professional with experience in RLHF workflows, model evaluation, quality analytics, and multilingual AI systems. Improved calibration alignment from 70% to 90% across 26 Quality Analysts and supported AI training programs involving 50+ contributors. Skilled in Python, SQL, Tableau, KPI analysis, and process improvement.

Professional profile

Location
Indonesia

02

Proven on the network

Implementation records and publicly available work, where published.

2 AI Deployments delivered, including 2 publicly identified implementations available to inspect.

Reported business outcomes
  • Hours Automated20 hours

    period not specified

    Automated 20 hours (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 Ilham builds

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

Specialisations

Prompt Engineering

Builder-listed deployment types

  • AI Copilot
  • Enterprise Search
  • Knowledge Assistant
  • Question Answering
  • Recruitment Automation
  • Transcription & Summarization
  • Workflow Automation

04

AI Deployments

Real AI implementations demonstrated through evidence.

01 / AI DeploymentPublished record

AI Job Search & Application Automation Framework

Designed and implemented an AI-powered workflow framework that automates job discovery, fit evaluation, resume tailoring, cover letter generation, and application preparation using structured agent-style review and refinement workflows.

20 hours automated

HR & Staffing · AI Copilot · Knowledge Assistant · Recruitment Automation · Workflow Automation

View Deployment
02 / AI DeploymentPublished record

Centralized Knowledge Hub for AI Evaluation Operations

Designed and deployed a centralized web-based knowledge hub that consolidated training materials, evaluation guidelines, onboarding resources, and operational documentation for distributed AI evaluation teams.

IT Services & Systems Integration · Enterprise Search · Question Answering · Transcription & Summarization

View Deployment

05

Implementation capabilities

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

Evidence-supported

  • AI Copilot1 record
  • Enterprise Search1 record
  • Knowledge Assistant1 record
  • Question Answering1 record
  • Recruitment Automation1 record
  • Transcription & Summarization1 record
Show all evidence-supported capabilities
  • Workflow Automation 1 record

Builder declared

  • Prompt Engineering

06

Technology

Technologies listed by the Builder, distinguished by published evidence.

Evidence-supported

  • Anthropic Claude1 record

Builder declared

  • AWS
  • ClickUp
  • Discord

07

Industry experience

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

HR & Staffing

1 published Deployment

IT Services & Systems Integration

1 published Deployment

Data & Analytics

Builder declared

08

Case Studies

Published narratives of implementation and results.

Research · Onboarding Assistant · Operations Automation

AI Evaluation Knowledge Hub & Onboarding System

Designed and deployed an internal knowledge hub that centralized AI evaluation guidelines, onboarding resources, calibration examples, and operational documentation for distributed AI teams.

Read case study

09

Trust & verification

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

Verified Builder

AI Case Studies verified

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.

  • AI Case Studies Verified
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

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