Remco Hendriks is a Senior Machine Learning Engineer based in Amsterdam with over a decade of hands-on experience building production-grade AI systems that bridge research and real-world applications. He specialises in LLM systems, GraphRAG architectures, multi-agent GenAI orchestration and cost-efficient fine-tuning techniques, having delivered domain-specific solutions for pharmaceuticals, legal intelligence and financial services. His background as a full-stack developer and published researcher (MLitB, PeerJ 2015) informs a pragmatic approach to ML infrastructure, from scalable ETL and feature engineering to Triton/vLLM serving and CI/CD for models. Notably, he engineered ExecutiveOrders.im, demonstrating a >60% relevance improvement and up to 90% LLM cost reduction using graph-based RAG for large legal corpora. Comfortable across cloud platforms and containerised deployments, he combines system-level engineering with experiment-driven model tuning (PEFT, LoRA, RLHF). He is available for projects that require turning messy unstructured data into queryable knowledge systems and production LLM applications.
12 years of coding experience
11 years of employment as a software developer
Master’s Degree Computer Software Engineering, Master’s Degree Computer Software Engineering at University of Amsterdam
Chinese Language, Chinese Language at Tsinghua University
Contributions:32 PRs, 69 pushes, 15 branches in 1 month
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