You will get 3-Day AI Proof of Value Sprint| Business Automation & ROI-Driven AI Systems
Project details
We deliver ROI-driven AI automation through proven 3-day Proof of Value sprints. Unlike engineer-driven solutions or "AI hype," we focus on measurable business outcomes. Our senior AI experts rapidly prototype working solutions using LLMs, n8n, and modern AI agents—validating real value before scaling. We've helped agencies save 70%+ in scheduling time, content teams save 10+ hours weekly, and B2B platforms cut costs by 95% while increasing output 400%. You get: business-first approach, rapid prototyping (days, not months), clear ROI calculations, and flexible scaling from quick-wins to enterprise systems. Perfect for businesses tired of AI promises and ready for proven results.
Machine Learning Tools
BERT, ChatGPT, GitHub Copilot, Google Sheets, GPT-3, Keras, MLflow, NLTK, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Word2vecWhat's included
| Service Tiers |
Starter
$2,200
|
Standard
$4,500
|
Advanced
$8,500
|
|---|---|---|---|
| Delivery Time | 10 days | 20 days | 40 days |
Number of Revisions | 2 | 3 | 5 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 0 | 1 | 2 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
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Fast Delivery
+$200 - $1,000Frequently asked questions
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GM
Gdt M.
Mar 20, 2026
Python/n8n Script for All E-commerce Data(Shopee/Lazada/TikTok/Meta/Google/CNSC/Affiliate)
Working with Daniel was an absolute pleasure. He successfully delivered a highly complex Python and n8n automation project, integrating data from multiple e-commerce and ad platforms into our system.
This project involved navigating some very strict and frustrating API approval processes, but Daniel was incredibly patient, communicative, and solution-oriented every step of the way. He provided clear guidance, adjusted workflows perfectly to our needs, and ensured all credentials and data pipelines were running smoothly before wrapping up.
If you need a reliable expert for API integrations, n8n workflows, or data automation, Daniel is the one. Highly recommended!
This project involved navigating some very strict and frustrating API approval processes, but Daniel was incredibly patient, communicative, and solution-oriented every step of the way. He provided clear guidance, adjusted workflows perfectly to our needs, and ensured all credentials and data pipelines were running smoothly before wrapping up.
If you need a reliable expert for API integrations, n8n workflows, or data automation, Daniel is the one. Highly recommended!
SL
Sabrina L.
Mar 15, 2026
Notion CMS Automation | Headless Web (Astro + API)
Technical Expertise & Execution
"Daniel is a highly capable engineer who delivered a sophisticated, high-performance website with a focus on modern, machine-readable architecture. Key technical achievements:
Tech Stack: Expertly implemented Astro and Tailwind CSS with a streamlined GitHub/Vercel deployment.
Automation: Developed a robust Notion-to-Web pipeline with automated JSON backups.
Data Structure: Precise execution of JSON-LD and AI-intent.json for enhanced metadata logic.
Performance: Seamlessly integrated WebP optimization and custom viewer components.
His work is technically sound, logical, and adheres to high development standards. Highly recommended for custom headless CMS and performance-driven projects."
"Daniel is a highly capable engineer who delivered a sophisticated, high-performance website with a focus on modern, machine-readable architecture. Key technical achievements:
Tech Stack: Expertly implemented Astro and Tailwind CSS with a streamlined GitHub/Vercel deployment.
Automation: Developed a robust Notion-to-Web pipeline with automated JSON backups.
Data Structure: Precise execution of JSON-LD and AI-intent.json for enhanced metadata logic.
Performance: Seamlessly integrated WebP optimization and custom viewer components.
His work is technically sound, logical, and adheres to high development standards. Highly recommended for custom headless CMS and performance-driven projects."
NJ
Nancy J.
Jan 23, 2026
Social Media Content Management with AI Agent Development
Great experience working with Daniel and his lead (Mantaka). Daniel unfortunately had to step away for unseen reasons but made sure that his lead was brought up to speed and on board to take on the delivery of my project. They have been very supportive with answering questions and providing best practices and suggestions on how to delivery the best value for my client. They provided great documentation when handing over the project to us as well.
DP
David P.
Dec 19, 2025
n8n Workflow Setup for Email Data Extraction
Daniel implemented our n8n workflow with great skills and good and transparent communication.
About Daniel
AI Developer / GTM Engineer | n8n, Claude Code, Python, Clay
84%
Job Success
Amsterdam, Netherlands - 7:18 am local time
I've showcased technology at the United Nations CTBTO Vienna 2025 conference and built an SEO pipeline for a funded edtech company. My work spans recommendation engines , agentic market intelligence pipelines, sales outreach systems, and content automation systems.
WHAT I DO:
I build custom AI automation systems that solve real business problems:
- LinkedIn Growth & Content Automation: Built systems achieving 1M+ impressions for Top Voices using LLM-powered optimization and reinforcement loops
- Vector Search & Recommendation Engines: Architected multi-dimensional search systems (MongoDB + OpenAI embeddings) with sub-200ms response times, scaling platforms to 100K+ users
- Marketing Automation & SEO: Created end-to-end automated pipelines using DataForSEO, RAG systems, and unsupervised ML clustering that reduced multi-day workflows to minutes (80% effort reduction)
- Market Intelligence Systems: Built agentic AI combining web scraping (Apify), document embedding, and semantic clustering to track 20+ daily market signals
- Computer Vision & Conversational AI: Developing systems that integrate pose detection, facial landmark analysis, and voice AI for next-generation user experiences
- E-commerce ML Systems: Built recommendation engines with K-Means clustering, collaborative filtering, and NLP achieving 96% recall and 74% NDCG accuracy
TECHNICAL STACK:
- AI/ML: OpenAI API, Claude, Gemini, LangChain, HuggingFace Transformers, TensorFlow, PyTorch
- Vector Databases: Pinecone, ChromaDB, MongoDB, PostgreSQL/pgvector
- Automation: n8n, Make.com, Zapier, Voiceflow
- ML Techniques: RAG pipelines, embeddings, prompt engineering, NLP, computer vision (CLIP), clustering
- Development: Python (FastAPI, scikit-learn), TypeScript, React, Next.js, Node.js
- Infrastructure: GCP, AWS, Docker, REST APIs
NOTABLE PROJECTS:
âś“ Custom Wake Word AI Avatar System showcased at UN CTBTO Vienna 2025
✓ Scaled networking platform from 0 to 100K+ users in under a year (€600K valuation)
âś“ Built first revenue-generating AI feature for SaaS platform (25% conversion increase)
âś“ Developed CNN disease detection system (97.65% accuracy) for Indonesian farmers
âś“ Created LLM-as-a-judge framework achieving 92% correlation with human experts
âś“ Built conversational voice AI increasing profile completion by 30%
WHY WORK WITH ME:
- Proven track record: I've delivered 15+ production AI systems across healthcare, e-commerce, marketing, and enterprise automation
- Business outcomes focus: Every system I build is designed to drive revenue, save time, or reduce costs
- Fast delivery: I'm known for delivering critical features on time (clients have offered equity based on performance)
- Full-stack capability: From ML model training to production deployment and frontend integration
- Clear communication: I break down complex AI concepts into actionable business terms
EDUCATION & RECOGNITION:
- BSc Computing Science (Data Science & AI specialization) - Radboud University
- Co-host of AI Builders events (100+ participants monthly) featuring CEOs from Featherless AI, Netlify, LangChain
- Former President of Students Association (200+ members)
Let's discuss how AI automation can solve your specific business challenges.
Send me a message with your project details and let's see if we're a good fit.
Steps for completing your project
After purchasing the project, send requirements so Daniel can start the project.
Delivery time starts when Daniel receives requirements from you.
Daniel works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1
Client purchases sprint and completes discovery questionnaire about pain points, success criteria, current tools, and stakeholder availability.
Step 2 (Day 1 - Defining Success)
Discovery workshop to map pain points, opportunities, data/tooling availability, stakeholder landscape, risks, and technical approach. Output: validated POC plan.