Proof first,partnership second.
Customers describe their AI/ML needs. I provide real proof that the project is doable — via case studies, interactive demos, and a custom micro-POC. Trust is built before any payment.
Built on transparency, not promises
No black-box agency. No vague deliverables. Just clear process, honest communication, and verifiable proof at every stage.
Radical Transparency
Process documented openly. Case studies with real metrics. Source code templates shared. You see exactly what you're paying for — before, during, and after.
Multiple Entry Points
From $9 self-service products to $30K+ custom implementation. MVP-scope custom work starts at $3K, full production at $5K+. Pick what fits your budget and complexity. Upgrade or downgrade anytime — no pressure.
Flexible Communication
Pick your preferred contact method: video call, email, or chat. Async-friendly for different timezones. Direct access to the engineer, not a project manager.
Engineer-Owned Accountability
I architect, review, and stand behind every line shipped. Milestone-based payment with escrow protection. If I don't deliver per spec, you don't pay.
From problem to delivery, without risk
Every step is designed to build trust. You never pay in full before seeing proof of competence.
1. Application Form
Customer fills out a 5-7 question form: problem, budget, timeline, industry. Smart routing helps you find the right path — from $9 self-service products to $3K+ MVP-scope custom work.
2. Free Initial Consultation
After application review, we connect via your preferred method — 15-min video call, detailed email reply, or chat (Telegram/WhatsApp/Slack). Your choice, same goal: confirm needs & alignment.
3. Custom Micro-POC
I build a 1-page proof-of-concept within 48-72 hours (depending on project complexity), using your sample data (NDA required). Real proof that I can deliver — for simple RAG/LLM tasks usually 48h, for complex multi-format PDF extraction or computer vision up to 72h.
4. Proposal & Contract
After POC approval, I send a detailed proposal: scope, milestones, deliverables, price. Contract signing via DocuSign/Bonsai.
5. Milestone Payment
30% upfront, 30% milestone 1, 30% milestone 2, 10% final. Escrow via Upwork or Stripe for both parties' safety.
6. Delivery & Support
Implementation with weekly progress updates in Notion/Linear. UAT sign-off, handover documentation, 14-day post-launch support.
Why is this process safe for you? No full upfront payment. You see the POC for free first. Milestone payment means you only pay for results, not promises. Escrow via Upwork/Stripe = refund guarantee if I don't deliver.
Case studies with measurable results
Real project references from public freelance marketplaces. Client names redacted for confidentiality. Metrics will be updated after actual project delivery. Use search and filter to find projects matching your needs.
Choose based on your needs & budget
Transparent. No hidden fees. All payments via escrow (Upwork/Stripe) for both parties' safety.
Deep-dive sessions to identify viable AI use cases for your business. Output: roadmap, tech recommendation, ROI projection.
- 90-minute discovery session
- Use case identification & prioritization
- Tech stack recommendation
- ROI & cost projection
- Implementation roadmap (PDF)
- No coding included
- Custom code
- Production deployment
- Ongoing support
Full-cycle AI/ML project: from design, development, testing, to production deployment. MVP-scope starts at $3K, full production systems at $5K+. Milestone-based payment, safe escrow.
- Everything in Strategy, plus:
- Custom AI/ML model development
- Production-grade deployment
- API & integration
- Documentation & handover
- 14-day post-launch support
- Source code & IP transfer
- Ongoing maintenance (>14 days)
Dedicated AI engineer for maintenance, optimization, and feature development. Slack access, priority response, monthly roadmap.
- Everything post-Implementation, plus:
- Dedicated hours (20-80 hrs/month)
- Slack/Discord direct access
- Priority response (<24 hrs)
- Monthly optimization report
- Roadmap & feature planning
- On-call for critical issues
💡 All prices in USD. IDR payment available with BI reference rate. Custom Implementation starts at $3K (MVP-scope: single use case, pre-trained models, basic integration, 7-day support). Full production systems start at $5K+. Custom quote for out-of-range projects? Tell me about your needs.
Budget under $50? Start here
Pre-built AI assets you can buy instantly — no application, no waiting. Perfect for students, hobbyists, UMKM, and anyone exploring AI before committing to custom work.
- Hybrid BM25 + dense vector
- Indonesian chunking
- Source attribution
- Deploy guide included
- 50+ tested prompts
- Industry-specific sets
- Notion + PDF format
- Free updates for 1 year
- 24-hour reply
- Detailed recommendation
- Code snippet included
- Follow-up Q&A (1 round)
- 50 actionable points
- Article 12 & 14 coverage
- PDF + Notion format
- ISO 42001 cross-reference
All products come with 14-day money-back guarantee. No questions asked.
Want custom work instead?
Apply for Custom ImplementationTry it directly, no signup
3 small demos showing technical competence. Input your data, see results. Email optional (for follow-up if you want custom POC).
Want a POC for your specific use case (not generic demo)?
Request Custom Micro-POC (Free, 48 hrs)Tell me about your AI/ML project
Tell me about your AI/ML needs. I review every application personally within 24 hours. Not sure about the budget? Pick the closest option — we'll figure out the right path together (custom work, quick consult, or self-service products).
Engineer, not an aggregator
You work directly with me — not an agency that delegates to juniors. I architect, review, and stand behind every line shipped — AI-accelerated, engineer-owned.
Tech Stack & Skills
Experience
Build AI/ML solutions for clients across fintech, healthcare, e-commerce. Focus on RAG systems, AI agents, and production deployment. Milestone-based delivery with escrow protection.
Built and scaled recommendation systems and ML pipelines. Optimized model inference and deployment workflows for production reliability.
Backend development for fintech platforms with high transaction throughput. Microservices architecture, API design, and distributed systems.
Frequently asked questions
Don't see an answer? Submit an application and ask directly in the consultation.