ALEX GOLDHOORN
Senior Data Scientist
alex@goldhoorn.net • linkedin.com/in/agoldhoorn • goldhoorn.net
Barcelona, Spain • Dutch/EU Citizen • Remote
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Professional Summary
Senior Data Scientist with 12+ years of industry experience specializing in logistics optimization, discrete event simulation, and LLM agent systems. Proven track record building production systems serving 120,000+ users across 23 countries, delivering measurable cost reductions through data-driven optimization. PhD in Robotics with expertise in planning under uncertainty.
Industry Focus: Particularly interested in space, transportation, pharma & life sciences, and high-tech industries where data-driven optimization, planning under uncertainty, and system reliability create real-world impact.
Core Skills
Languages: Python, Go, C++, SQL
ML/AI: LLM Evaluation, Agent Systems, RAG, Machine Learning, Deep Learning
Optimization: Discrete Event Simulation, Vehicle Routing (VRP), Discrete Optimization
Tools: PyTorch, Google OR-Tools, DeepEval
Dev Tools: GitHub Copilot, Cursor, VS Code, bash/zsh, AWS
Professional Experience
Freelance Senior Data Scientist • Independent • Mar 2026 - Present
- Current Contract: LLM agent development and evaluation (client confidential)
- Available for: Data science projects across domains, such as transport & logistics optimization, discrete event simulation, robotics, and LLM/agent systems
Senior Data Scientist • Meight (Freight Logistics) • Dec 2024 - Feb 2026
- LLM Agent Evaluation: Designed comprehensive evaluation framework combining classical ML metrics with LLM-as-a-judge evaluation (faithfulness, cost) for AI agents automating freight manager tasks, ensuring production reliability
- Tour Optimization: Developed algorithms integrating real-time telematics and EU driving-time regulations to optimize freight planning and reduce empty running, boosting Revenue Per Kilometer (RPK)
Senior Data Scientist • Glovo (On-Demand Delivery) • Nov 2019 - Nov 2024
- Delivery Simulator: Led architecture and refactor of discrete event simulator for Glovo's delivery network (20+ countries, 120,000+ couriers), enabling rapid experimentation and hyperparameter optimization across the full delivery lifecycle
- Matching Optimization: Built automated optimization pipeline for matching cost function, balancing delivery speed, courier earnings, and operational efficiency at global scale
- Route Optimization (VRP): Implemented Vehicle Routing Problem solution for Live Multibundling, enabling dynamic order batching and real-time route optimization, reducing delivery times and costs
- Impact: Optimization improvements reduced average delivery times by several minutes, translating to significant cost savings across the network
Senior R&D Software Developer • Atomian (Cognitive AI) • Jun 2017 - Nov 2019
- Healthcare Data Engineering: Built ETL pipelines to prepare data for Atomian's cognitive NLP platform, enabling the Medical Records product to extract structured data from unstructured patient reports and legal documents
- Analytics & Prediction: Developed prediction models and performed accuracy evaluation on extracted healthcare data, ensuring reliability for clinical applications
PhD Researcher • IRI - Institut de Robòtica (CSIC-UPC) • Apr 2011 - Jun 2017
- Thesis: "Searching and Tracking of Humans in Urban Environments by Humanoid Robots" - developed algorithms using POMCP, particle filters, and Reinforcement Learning
- Validation: Conducted 3km+ of autonomous experiments with humanoid robots in real-world urban settings, handling uncertainty and noisy sensors
Education
Doctor of Philosophy (PhD) in Automatic Control, Robotics and Computer Vision
Universitat Politècnica de Catalunya, Barcelona, Spain • 2011 - 2017
Master of Science (MSc) in Artificial Intelligence
University of Groningen, Netherlands • 2005 - 2008
Bachelor of Science (BSc) in Computing Science
University of Groningen, Netherlands • 2003 - 2006
Certifications
- LangChain Academy (7 courses, Mar 2026): Introduction to LangChain, LangSmith Essentials, Building Reliable Agents, Agent Observability & Evaluations, Ambient Agents with LangGraph, Deep Research with LangGraph, Deep Agents
- Machine Learning in Production - DeepLearning.AI (Mar 2026)
- Generative AI for Software Development (3-course) - DeepLearning.AI (Feb 2026)
- PyTorch for Deep Learning (3-course) - DeepLearning.AI (Feb 2026)
- Agentic AI - DeepLearning.AI (Nov 2025)
- 26 short courses - DeepLearning.AI (Nov 2025 - Mar 2026): Safe & Reliable AI via Guardrails, DSPy (Databricks), Pydantic for LLM workflows, long-term agentic memory (LangChain), serverless LLM apps & agentic workflows (AWS), agent evaluation & LLM testing, agentic frameworks (LangGraph, crewAI, smolagents), RAG & knowledge graphs, MCP, RL fine-tuning (GRPO), semantic caching, A2A protocol, and more
- Deep Learning Specialization (5-course) - DeepLearning.AI/Coursera (Jul 2019)
- Discrete Optimization - Georgia Institute of Technology/Coursera (Dec 2020)
Languages
Dutch (native), English (fluent), Spanish (fluent), Catalan (proficient)