AI Deploy Network
mfaturr

AI Deploy Network / Builder

mfaturr

AI Engineer | Generative AI Engineer

IndonesiaTasikmalayaSeniorAvailable Now

Published evidence

0 AI Deployments

01

About mfaturr

I am an AI Engineer focused on Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).

I develop AI-powered applications using Python, FastAPI, vector databases, and modern LLM technologies. My portfolio project, PolicyMind AI, is an AI-powered policy assistant that uses RAG to retrieve relevant information from company policy documents and generate context-based answers.

Read more

I am continuously improving my skills in AI engineering, LLM application development, and AI system deployment. I am open to opportunities where I can contribute, learn from experienced professionals, and build practical AI solutions.

Professional profile

Location
Tasikmalaya, Indonesia
Time zone
Asia/Jakarta
Work mode
Remote, Hybrid, On-site
Availability
Available Now
AI experience
0+ years
Languages
English, Indonesian
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 mfaturr builds

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

Specialisations

AI Operations (MLOps & LLMOps)

Chatbots

RAG & Knowledge Retrieval

Semantic Search

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 Operations (MLOps & LLMOps)
    • Chatbots
    • RAG & Knowledge Retrieval
    • Semantic Search

    06

    Technology

    Technologies listed by the Builder, distinguished by published evidence.

    Evidence-supported

      No published evidence linked yet.

      Builder declared

      • BGE Embeddings
      • Chroma
      • Docker
      • FastAPI
      • Hugging Face Transformers
      • Langfuse
      • Python
      • Ragas

      07

      Industry experience

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

      Data & Analytics

      Builder declared

      HR & Staffing

      Builder declared

      IT Services & Systems Integration

      Builder declared

      Professional Services

      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
      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

      Professional record and further evidence

      Professional Certifications

      Well credentialed
      • Getting Started with Data

        IBM

        Verified Credential

        Issued Jul 2026

        View Credential
      • AI Literacy

        IBM

        Verified Credential

        Issued Jul 2026

        View Credential
      • LLM-Based Tools & Gemini API Integration for Data Scientists

        Hacktiv8 Indonesia

        Verified Credential

        Issued Jul 2026

      • Data - AI Agent for Data Analysis

        Hacktiv8 Indonesia

        Verified Credential

        Issued Jul 2026

      • Retrieval-Augmented Generation for Enhanced AI Outputs

        IBM

        Verified Credential

        Issued Oct 2026

      • Build an AI Agent

        IBM

        Verified Credential

        Issued Oct 2026

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