AI Deploy Network
Alfi Fadel Majid

AI Deploy Network / Builder

Alfi Fadel Majid

Principal Engineer | Architecting Scalable Systems for AI & B2B | Remote

IndonesiaPrincipalAvailable Now

Published evidence

0 AI Deployments

01

About Alfi

I’m a Principal Engineer and Engineering Manager who enjoys solving real problems and turning ideas into systems that actually work and scale. Over the years, I’ve had the chance to lead and build with great teams across fintech, F&B, legal tech, and e-commerce — working on high-availability platforms, improving workflows, and bringing AI into everyday operations. Lately, I’ve been diving deeper into AI and automation — from migrating OpenAI services to Azure OpenAI, improving prompt performance for order classification, to using Claude on AWS Bedrock for legal document analysis and model training. I like leading by example — staying hands-on, mentoring engineers, and helping the team focus on what really matters: building systems that are reliable, useful, and make a real impact.

Professional profile

Location
Indonesia
Time zone
Asia/Jakarta
Work mode
Remote, Hybrid
Availability
Available Now
AI experience
3+ years
Industry experience
8+ years
Languages
Indonesian, English
Typical response
Within a few hours

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 Alfi builds

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

Specialisations

Agentic Workflows

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

    • Agentic Workflows

    06

    Technology

    Technologies listed by the Builder, distinguished by published evidence.

    Evidence-supported

      No published evidence linked yet.

      Builder declared

      • Claude Code
      • Docker
      • GitHub Actions
      • Go
      • Java
      • JavaScript
      • Kubernetes
      • MongoDB
      • MySQL
      • PostgreSQL

      07

      Industry experience

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

      FinTech

      Builder declared

      Food & Beverage

      Builder declared

      Healthcare Providers

      Builder declared

      IT Services & Systems Integration

      Builder declared

      Logistics & Transportation

      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
      Community

      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

      Ready to discuss your AI implementation?

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