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About Fajri
Senior AI/ML engineer with 5+ years turning machine learning and generative AI into measurable business results across energy, property and manufacturing. Track record of cutting operating costs by gt;30%, eliminating unscheduled plant shutdowns, and compressing week-long financial processes into minutes. Builds AI practices from zero, from strategy to production-grade multi-agent systems, agentic RAG, vLLM serving and MLOps.
Professional profile
- Location
- Jakarta, Indonesia
- Time zone
- Asia/Jakarta
- Work mode
- Remote
- Availability
- Available Now
- AI experience
- 5+ years
- Industry experience
- 5+ years
- Languages
- Indonesian, English
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Proven on the network
Implementation records and publicly available work, where published.
0 AI Deployments delivered. No publicly identified implementations are available to inspect.
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What Fajri builds
Implementation domains listed on this profile. Evidence-supported items are identified separately below.
Specialisations
AI Cost Optimisation
AI Operations (MLOps & LLMOps)
Chatbots
Multi-Agent Systems
RAG & Knowledge Retrieval
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AI Deployments
Real AI implementations demonstrated through evidence.
No publicly identified Deployments are available to inspect.
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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 Cost Optimisation
- AI Operations (MLOps & LLMOps)
- Chatbots
- Multi-Agent Systems
- RAG & Knowledge Retrieval
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Technology
Technologies listed by the Builder, distinguished by published evidence.
Evidence-supported
No published evidence linked yet.
Builder declared
- Amazon Bedrock
- Azure AI Foundry
- LangGraph
- Vertex AI
- vLLM
07
Industry experience
Published Deployments support the listed counts. Other industries are Builder declared.
Manufacturing
Builder declared
Oil & Gas
Builder declared
Real Estate
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
Multiple client engagementsLippo Malls Indonesia
Machine Learning • Real Estate
Indonesia2026Predictive ML models on real-time IoT sensor data that manage HVAC energy consumption, cutting operational costs by more than 30%.
Lippo Malls Indonesia
Agentic AI • Real Estate
Indonesia2026An agentic RAG chatbot grounded in SOPs and regulations, served on on-premise vLLM with Redis and Qdrant memory, evaluated with LLM-as-a-Judge.
Manufacture Company
ConfidentialAI • Manufacturing
Indonesia2025An AI-based predictive maintenance system that cut unscheduled plant shutdowns from 15 to 0 within 8 months, preventing losses of up to IDR 24B per incident.
Manufacture Company
ConfidentialMachine Learning • Manufacturing
Indonesia2024AI-based P&L projection for every subsidiary, compressing a 7-working-day process into 15 minutes with over 95% accuracy.
Professional Certifications
Some recognitionTensorFlow Developer Certificate
TensorFlow Certificate Program
Verified CredentialIssued Aug 2021
Credential ID: 30937822
Nanodegree Program-Machine Learning DevOps Engineer
Udacity
Verified CredentialIssued Sep 2022
Credential ID: CX2G2QFF
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