Complete AI Solutions
End-to-End AI Implementations
Full AI solution development - from LLM-powered assistants and RAG systems to agentic AI and custom automations. Built by a senior AI architect with 10+ years of experience delivering production systems for Fortune 500 companies.
Production AI Systems
Delivered end-to-end AI solutions across industries
LLM-Powered AI Assistants
London Private Equity Fund
Architected, designed, and developed LLM-powered AI assistants with Retrieval Augmented Generation (RAG) on Azure, helping investment teams find M&A deals faster.
IMPACT
Enhanced data accessibility for investment decisions
E-Commerce Recommender System
Wehkamp (Major Dutch Retailer)
Delivered next-gen recommender system using Scala, Spark, Kafka and Python to great commercial success. Maintained ElasticSearch engine and built ML product data pipelines in Airflow.
IMPACT
Increased revenue through personalized recommendations
Content Recommendation ML Pipeline
RTL Nederland (Videoland)
Productionized ML pipeline for Videoland streaming platform content recommendations. Set up Databricks on AWS to replace self-hosted ML workbench for all data scientists.
IMPACT
Improved content discovery and user engagement
AI Solution Services
LLM & RAG Systems
Production-ready AI assistants that leverage your enterprise data using LLMs, vector databases, and retrieval augmented generation.
- Azure/AWS/GCP deployment
- Custom RAG pipelines
- Enterprise integrations
- Scalable vector search
Agentic AI Solutions
Autonomous AI agents that handle complex workflows, from supply chain optimization to customer service automation.
- Multi-agent architectures
- Workflow orchestration
- Tool use & function calling
- Production monitoring
ML Platform Development
Scalable ML platforms and infrastructure on AWS, Azure, or GCP with Kubernetes for data science teams.
- MLOps pipelines
- Model deployment
- A/B testing infrastructure
- Monitoring & observability
Implementation Approach
End-to-end delivery based on 10+ years building production AI systems for Nike, Goldman Sachs, RTL, Wehkamp, and other major organizations.
- From business experiment to production deployment
- Cloud-native on AWS, Azure, or GCP with Kubernetes
- Full stack: Python, TypeScript, React, LangChain, vector DBs
- Production-grade: monitoring, A/B testing, scalability
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