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You will get A production-ready SaaS with AI scheduling & Stripe payments


Project details
You will get a production-ready SaaS productivity application with AI-powered scheduling, payment integration, and third-party API connections.
This isn't a template or tutorial code — it's a complete, deployed system built with Django, HTMX, and Tailwind CSS. The intelligent scheduler automatically distributes tasks based on priority, deadlines, and your available time.
What makes this different? I combine software engineering with 22 years of industrial operations experience. I understand how real workflows work — not just how code works. The result is an app that solves actual productivity problems, not just a tech demo.
You'll receive clean, documented code, deployment instructions, and a working live demo. Whether you need an MVP to validate your idea or a full SaaS with Stripe subscriptions, I deliver systems that are ready for real users.
Tech stack: Django 5+, PostgreSQL, HTMX, Tailwind, Stripe, OpenAI/Anthropic APIs, Notion & Google Calendar integrations.
This isn't a template or tutorial code — it's a complete, deployed system built with Django, HTMX, and Tailwind CSS. The intelligent scheduler automatically distributes tasks based on priority, deadlines, and your available time.
What makes this different? I combine software engineering with 22 years of industrial operations experience. I understand how real workflows work — not just how code works. The result is an app that solves actual productivity problems, not just a tech demo.
You'll receive clean, documented code, deployment instructions, and a working live demo. Whether you need an MVP to validate your idea or a full SaaS with Stripe subscriptions, I deliver systems that are ready for real users.
Tech stack: Django 5+, PostgreSQL, HTMX, Tailwind, Stripe, OpenAI/Anthropic APIs, Notion & Google Calendar integrations.
Programming Languages
HTML & CSS, JavaScript, PythonCoding Expertise
Performance Optimization, Security, DesignWhat's included
| Service Tiers |
Starter
$3,000
|
Standard
$5,000
|
Advanced
$9,000
|
|---|---|---|---|
| Delivery Time | 14 days | 28 days | 45 days |
Number of Revisions | 2 | 3 | 5 |
Number of Pages | 5 | 10 | |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - | - | - |
About Juan Jose
RAG for technical documentation | Engineering & Industrial Teams
Rivas-Vaciamadrid, Spain - 2:18 am local time
🎯 What Makes Me Different:
22 years as a Drilling Engineer at Repsol, ADNOC, and Moeve. PhD in Engineering. Hands-on AI developer.
I don’t just build AI systems — I build AI that understands operational reality.
In drilling, a wrong interpretation isn’t a minor bug — it’s non-productive time, safety exposure, or millions in cost. I’ve lived that environment. I know how decisions are made on rig sites, in operations rooms, and under time pressure.
When your knowledge base is buried inside 500-page PDFs, procedures, and daily reports, I design RAG systems that:
• Respect operational constraints
• Reduce interpretation risk
• Surface precise answers engineers can trust
• Align with how field teams actually work
You’re not hiring someone learning your domain.
You’re hiring someone who already speaks it — and can translate it into reliable AI.
📊 Recent Impact:
Built RAG systems processing 200+ technical documents with contextual accuracy
Developed AI classification agents for automated expense categorization
Created workflow automation tools solving real operational problems
Delivered production-ready AI assistant in 6-week mentorship sprint
This translated into:
- 95% time reduction in finding relevant information, summarize and extract knowledge.
- 100% accuracy in retrieval.
- 6 months of work saved
- +200 users impacted for this change.
⭐ Client Testimonial:
"I learned the intricacies of developing RAG systems in 6 weeks that would have otherwise taken 6 months - 1 year on my own. Juanjo's deep knowledge of Python development, AI applications, and infrastructure were mind blowing. The proof is in the deliverable: a working AI application in 6 weeks. You should work with Juanjo."
— Tim Gallati, Founder @ Quiet Links Library
🛠 Technical Stack:
- LLM & RAG: LangChain, LangGraph, OpenAI, Anthropic Claude, Weaviate, Pinecone
- MCP Servers and security
- Backend: Python, FastAPI, PostgreSQL
- Automation: n8n, Make
- Credentials: PhD in Engineering, PyBites Certified Python Developer
🤝 Let’s Build Something Real
I specialize in RAG systems for technical documentation in energy, industrial, and engineering environments.
When your teams lose hours searching through 500-page manuals instead of operating, diagnosing, or executing — I eliminate that friction.
I design AI systems that deliver measurable operational impact:
• Reduced search time
• Faster decision cycles
• Fewer interpretation errors
• Faster onboarding of new engineers
These are not generic chatbots. They are production-ready knowledge systems built for environments where accuracy and clarity matter.
Currently taking on select clients for:
Technical documentation → AI assistant transformation
Custom RAG architecture & optimization
Engineering knowledge base automation
Domain-specific retrieval accuracy improvement
With 22 years in drilling engineering, I understand how technical decisions are made under operational pressure. The AI I build reflects that reality.
If your documentation is slowing your teams down, let’s turn it into a competitive advantage.
Steps for completing your project
After purchasing the project, send requirements so Juan Jose can start the project.
Delivery time starts when Juan Jose receives requirements from you.
Juan Jose works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery Call
We review your requirements and define the scope together
Architecture & planning
I design the system and share a technical roadmap
