01
About Azka
Innovative AI Engineer with proven expertise in designing, building, and optimizing robust ML models for production environments
Professional profile
- Location
- Indonesia
- Time zone
- Asia/Jakarta
- Work mode
- Remote
- Availability
- Available Within 1 Month
- AI experience
- 3+ years
- Industry experience
- 9+ years
- Languages
- English, Indonesian
- Working hours
- 09.00-18.00 GMT, Mon-Fri
- Typical response
- Within 24 hours
- Travel
- No travel
- Available in
- Indonesia, Australia, Singapore, Malaysia, Vietnam, Thailand, Japan, China, Taiwan, South Korea, United Arab Emirates
02
Proven on the network
Implementation records and publicly available work, where published.
0 AI Deployments delivered. No publicly identified implementations are available to inspect.
03
What Azka builds
Implementation domains listed on this profile. Evidence-supported items are identified separately below.
Specialisations
AI Infrastructure
04
AI Deployments
Real AI implementations demonstrated through evidence.
No publicly identified Deployments are available to inspect.
05
Implementation capabilities
Evidence-supported means linked to a published Deployment or Case Study; other capabilities are Builder declared.
Evidence-supported
No published evidence linked yet.
Builder declared
- AI Infrastructure
06
Technology
Technologies listed by the Builder, distinguished by published evidence.
Evidence-supported
No published evidence linked yet.
Builder declared
- AWS
- Amazon Bedrock
- Amazon ECS
- Amazon EKS
- Amazon Q Developer
- Amazon S3
- Anthropic Claude
- Azure AI Foundry
- BigQuery
- Claude Code
- DigitalOcean
- GPT-5
- Gemini 2.5 Pro
- Google AI Studio
- Google Cloud
- Google GKE
- JavaScript
- Laravel
- Microsoft Azure
- MySQL
- Node.js
- PHP
- PostgreSQL
- Python
07
Industry experience
Published Deployments support the listed counts. Other industries are Builder declared.
Cloud & Infrastructure Providers
Builder declared
E-Commerce
Builder declared
EdTech
Builder declared
IT Services & Systems Integration
Builder declared
Software & SaaS
Builder declared
08
Trust & verification
A closer look at how this profile and its evidence are reviewed.
Community Member
Published evidence is reviewed against the AI Deploy Network Evidence Standard.
How verification works
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
Diverse industry experience
PT Pelita Berkah Abadi
Machine Learning • Oil & Gas
Indonesia2025Engineered and optimized an Asset Corrosion Detection System using a deep learning binary classifier to evaluate real-world industrial infrastructure images for corrosion.

PT Pelita Berkah Abadi
Machine Learning • Food Processing
Indonesia2025Developed a Coffee Bean Classifier utilizing nested binary classification to automate defect detection and roast color categorization, streamlining quality control.
PT Lulus Bersama Teknologi
Generative AI • EdTech
Indonesia2025Spearheaded infrastructure development for "Pastilulus," an AI-powered IELTS practice platform providing instant, automated essay evaluations for students.

PT Mekanik Sinergi Bersama
Machine Learning • Manufacturing
Indonesia2022Upgraded the I-RoasterBIK application by successfully implementing and deploying a machine learning-based roasting color grading model for smart coffee roasters
Professional Certifications
Well credentialedGoogle Cloud Associate Cloud Engineer
Google Cloud
Verified CredentialIssued Jun 2026 • Expires Jun 2029
Credential ID: 4932faffdd084475bd087fefee713682
AWS Certified Developer Associate
Amazon Web Services
Verified CredentialIssued Jun 2026 • Expires Jun 2029
Credential ID: 6bfd4da5-d325-428a-b52b-f32f72590c07
AWS Certified Solutions Architect Associate
Amazon Web Services
Verified CredentialIssued Mar 2026 • Expires Mar 2029
Credential ID: 8226f77e-6eca-4426-a490-c7eab08c66e5
Microsoft Azure AI Fundamentals
Microsoft
Verified CredentialIssued Mar 2026
Credential ID: 98e8fd57-455a-450f-a7fa-9e5ecb835c6f
Google Cloud Generative AI Leader
Google Cloud
Verified CredentialIssued Jan 2026 • Expires Jan 2029
Credential ID: 44dbd13a-5fde-434a-a3ef-dd99e097aa15
Professional Scrum Master™ I
Scrum.org
Verified CredentialIssued Nov 2021
Credential ID: 0451edff-4770-41dd-995c-4fbc209b8732
Oracle Database SQL Certified Associate
Oracle
Verified CredentialIssued Aug 2019
Credential ID: 8cc44253-ebca-43d5-939b-f562e5d2b78c
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