🟦 Ready to Build, Train, and Deliver
Need reliable AI engineers for your product or data roadmap?We deliver high-performance AI/ML talent — fully managed, delivery-ready, and trained in LLMs, GenAI, Forecasting, and more.
🔹 Delivery-ready in 7 days
🔹 Flexible engagement: pods, sprints, or full builds
🔹 Domain expertise in Health, Finance, SaaS, HR, Legal, eCom
🟦 Why Work With Us?
🔹 LLM & GenAI Ready
Experts in GPT, BERT, T5, RAG, Vector DBs, and Langchain frameworks.
🔹 Domain-Aligned Engineers
From healthcare scoring systems to legal doc retrieval and STT bots — our engineers come pre-equipped with sector-relevant project experience.
🔹 Real-World Delivery Experience
Every profile includes real deployments: forecasting, recommender systems, pricing models, QA agents, chatbots, and more.
🔹 Fully Managed and Scalable
We handle onboarding, delivery setup, and QA — so you can focus on product outcomes.
🟦 Our Talent Pool
LLM & GenAI Engineers
- Chatbots, QA agents, and voice assistants using GPT, RAG, FastAPI
- Vector DB (Qdrant, FAISS), OpenAI, Whisper, STT/TTS
- Worked in HealthTech, FinTech, LegalTech
✅ Example: Built RAG-based QA bot over legal docs with Qdrant + OpenAI
✅ Deployed insurance chatbot answering medical queries using GPT + custom embeddings
🟦 Forecasting & Pricing Specialists
- ConvLSTM models, time series prediction, ensemble models
- Revenue and usage forecasting, customer churn models
- Sector fit: SaaS, Marketplaces, HRTech
✅ Example: Improved pricing model accuracy by 20% for a leading jobtech platform
✅ Built time series forecast system using ConvLSTM on Landsat-8 data
🟦 Healthcare & NLP Experts
- Disease classifiers, insurance scoring systems
- BERT-based sector classifiers
- NLP, feature engineering, structured + unstructured data pipelines
✅ Example: 95% accuracy in predicting DRG medical codes using ML pipeline
✅ Built recommendation engine for 120+ disease classes using NLP-based similarity models
🟦 Sample Use Cases
Use Case | Example Output |
Healthcare Risk Prediction | Disease scoring engine w/ 95% accuracy |
Legal/Finance QA Agents | RAG system for doc answering |
Forecasting + Pricing Models | 10% revenue uplift via better pricing |
Customer Churn Analysis | 7% retention boost from ML targeting |
Chat/Voice Assistants | STT/TTS bots handling 1M+ calls/month |
🟦 Engagement Models
Model | Description |
AI Pod | 1–5 engineers, managed delivery, rolling 3-month cycles |
Discovery Sprint | 2-week fixed scope — roadmap, prototype, action plan |
Custom Build | Full project execution — pricing tied to milestones |
🟦 Featured Engineers
🔹 GenAI & QA Automation Expert
- 7 years experience | FinTech, HRTech
- Built RAG bots, in-house QA call center tools, OpenAI/Whisper deployments
- Stack: GPT, RAG, STT, FastAPI, Qdrant, ONNX
🔹 NLP & HealthTech Specialist
- 4.5 years experience | Healthcare, InsurTech
- Built DRG classifier and disease recommender with 95%+ accuracy
- Stack: BERT, GPT, Word2Vec, FastAPI, AWS
🔹 Forecasting & Time Series Specialist
- 4 years experience | Jobtech, SaaS
- Built ConvLSTM forecasting and pricing systems; improved SMAPE by 20%
- Stack: ConvLSTM, RF, XGBoost, Pandas, Pytorch
➡️ Ask for full profile pack → includes 5–10 pre-vetted engineers available now
🟦 Get in Touch
Want to explore available profiles or discuss a use case?
📧 Email: dirk.buursma@cpch.online
🟦 Data & Compliance
We follow GDPR-aligned delivery frameworks and offer:
- EU-compliant data handling
- NDA-backed engagements
- Transparent project oversight