Description

I'm a data scientist with 5 years of experience, specialising in building AI systems that actually work in production. My recent focus has been on LLM integration and RAG pipelines - designing systems that process documents, apply business logic, and reduce manual work for teams.

I've worked with Python, FastAPI, AWS Bedrock, LangChain, and pgvector to build end-to-end solutions, from data ingestion to deployed API. I'm comfortable working independently and can take a problem from rough brief to working system.

I work well with both early-stage teams who need things built fast, and larger organisations who need something reliable and maintainable.

Languages

English
Native or bilingual
Chinese
Native or bilingual
Dutch
Conversational
Japanese
Conversational

Workplace preferences

Can work on-site

Amsterdam (up to 50km)

Turing / Outl ier AI
AI Training & Prompt Evaluation Contributor (Freelance)
May 2025 - Today (1 year and 1 month)
Designed complex multi-turn LLM interaction scenarios to evaluate reasoning, instruction adherence, and tool usage Built agentictask simulations involving external tool-calling APIs (Calendar, Email, Drive) Conducted human-in-the-loop evaluation workflows to improve model factuality, logical consistency, and safety alignment
LLM Prompt Engineering
GRESB B.V.
Data Scientist
TECH
March 2021 - October 2024 (3 years and 7 months)
Amsterdam, Netherlands
Systems Developed an LLM-powered validation engine automating ESG document assessment workflows Reduced manual review time by 50% while maintaining 90% accuracy through structured prompting and retrieval pipelines AI Reliability & Evalu ation
Designed evaluation frameworks benchmarking LLM outputs against domain experts to ensure auditability and consistency Improved reliability of AI-generated assessments via deterministic workflow design and validation checkpoints Production Scoring Systems p Maintained and improved business-critical ESG scoring models used in global assessments Led migration of scoring pipelines from R to Python to improve scalability, maintainability, and integration with automation systems Ensured model reliability through validation testing, version control, and workflow standardization across reporting cycles Data Product Engi neering Led migration from static reports to interactive Tableau analytics platforms used by global stakeholders Designed scalable data transformation workflows supporting annual global ESG assessments
Python LLM AI Automation ESG Cloud computing
ABN AMRO Bank
Data Analyst -- Market Risk & Product Analytics
September 2019 - February 2021 (1 year and 5 months)
Amsterdam, Netherlands
Workflow Automation & Data Engi neering Engineered end-to-end data pipelines using Python and SQL, eliminating high-risk manual Excel reporting Built automated reporting infrastructure improving reliability of financial risk and product performance analytics Risk & Product Analytics Developed Interest Rate Risk (PV01 ) simulation models for portfolio sensitivity analysis and stress testing Translated user behavior and transaction data into actionable product insights Enabled monitoring of market exposure and product performance metrics for senior stakeholders
Python AI and Advanced Analytics SQL Risk Management Microsoft Power BI