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About Fajri
Technical Lead with 10+ years of experience building and scaling high-throughput distributed systems.
I specialize in turning complex ideas into production-grade systems quickly — using modern practices including AI-assisted & spec-driven development.
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Key Achievements:
- Scaled a Web3 platform from 0 to 300,000 users in 3 months
- Delivered ads platform handling 50M+ requests/day
- Reduced infrastructure costs by up to 80% through serverless & optimization
- Led engineering teams (5–7 engineers) across remote & multicultural environments
- Built secure financial systems using Shamir Secret Sharing + MPC
- Strong expertise in AWS, PostgreSQL, Redis, Django, Laravel, NestJS, Docker, and CI/CD. Passionate about system reliability, security, and delivering business impact fast.
Currently open to remote Technical Lead / Senior Software Engineer opportunities in Web3, Blockchain, or high-scale SaaS.
Professional profile
- Location
- Indonesia
- Time zone
- Asia/Jakarta
- Work mode
- Remote, Hybrid, On-site
- Availability
- Available Now
- AI experience
- 2+ years
- Industry experience
- 15+ years
- Typical response
- Within 24 hours
- Preferred engagement
- Medium (multi-team programmes)
- Travel
- Occasional travel
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 Fajri builds
Implementation domains listed on this profile. Evidence-supported items are identified separately below.
Specialisations
AI Agents
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 Agents
06
Technology
Technologies listed by the Builder, distinguished by published evidence.
Evidence-supported
No published evidence linked yet.
Builder declared
- AWS
- AWS SES
- Amazon Bedrock
- Amazon ECS
- Amazon S3
- Astro
- Cloudflare
- DigitalOcean
- Django
- Docker
- Express
- FastAPI
- Flask
- GitHub Actions
- Google Analytics
- Laravel
- MySQL
- NestJS
- Node.js
- PostgreSQL
- Python
- Redis
- SQLite
07
Industry experience
Published Deployments support the listed counts. Other industries are Builder declared.
Cloud & Infrastructure Providers
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
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