Pedro Baaijens

Data Scientist

Leiden, South Holland, Netherlands
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Summary

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Rockstar
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Top School
Pedro Baaijens is a data scientist with five years of hands-on experience blending data engineering, streaming systems, and machine learning to deliver scalable, real-time analytics solutions. At Axians NL he designs end-to-end data platforms using Kafka, Elasticsearch, Azure Synapse (PySpark), and containerized deployments while working closely with customers to align technical work to business needs. He applies IoT and wireless expertise—WiFi localization, Zephyr, and network models—to build localization models and privacy-preserving ML pipelines. Outside work he explores federated learning and MLOps tooling (Weights & Biases, Aim, MLFlow), building orchestrated, containerized environments that enable no-code ML workflows. Pedro pairs backend Python skills with front-end SvelteKit projects to make data-driven applications more accessible. Based in Leiden, he brings a pragmatic mix of product focus, field experience, and research-minded experimentation in distributed AI.
code5 years of coding experience
job1 year of employment as a software developer
bookMinor Business Information Technology (Business IT), Business Information Technology, Minor Business Information Technology (Business IT), Business Information Technology at Laurea University of Applied Sciences
bookBachelor of Applied Science - BASc, HBO-ICT, Bachelor of Applied Science - BASc, HBO-ICT at HZ University of Applied Sciences
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Github Skills (10)

artificial-intelligence10
openai10
python10
ai10
autonomous-agents9
socket4
chat3
socket-io3
websocket2
svelte1

Programming languages (4)

JavaScriptPHPSveltePython

Github contributions (5)

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darkcount2011/chat-app

Jan 2022 - Mar 2022

A simple chat app for learning / teaching Svelte and Socket.IO
Contributions:1 PR, 21 pushes, 14 branches in 2 months
socketsocket-iochat-appteachingchat
Contributions:14 PRs, 19 pushes, 14 branches in 1 day
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