ALEX GOLDHOORN

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, and high-tech industries where data-driven optimization, planning under uncertainty, and system reliability create real-world impact.

Core Skills

Professional Experience

Senior Data Scientist • Meight (Freight Logistics) • Dec 2024 - Present

• LLM Agent Evaluation: Designed comprehensive evaluation framework measuring faithfulness, tool usage, and cost for AI agents automating freight manager tasks, ensuring production reliability
• Tour Optimization: Developing 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 validating dispatch/matching algorithms across 23 countries and 120,000+ monthly couriers, enabling rapid experimentation and parameter tuning
• 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

Certifications

• Agentic AI - DeepLearning.AI (Nov 2025)
• Short courses (Nov 2025 - Jan 2026): Claude Code (Anthropic), Advanced RAG (TruEra/LlamaIndex), Hugging Face smolagents, Reinforcement Fine-Tuning LLMs (GRPO), Evaluating AI Agents, AI Agents in LangGraph, Agentic Knowledge Graph Construction (Neo4j), Knowledge Graphs for AI Agents, LLMs as Operating Systems, LangChain, Multi-Agent Systems
• 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)