Bauke Brenninkmeijer
Data ScientistResearch Engineer @orq-ai
orq-ai
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Research Engineer @orq-ai
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
orq-ai
Data Scientist
June 23, 2026 – Present
orq-langgraph-demo
April 13, 2026 – Present
A reference implementation showing how to build, observe, and evaluate LangGraph agents on Orq.ai.
View Projectassistant-plugins
March 4, 2026 – Present
Coding Agents skills for systematically evaluating LLM pipelines on the orq.ai platform
View Projectpydata-2025-context-is-king
August 3, 2025 – Present
PyData Amsterdam 2025 - Context is King
View Projectpersonal-homepage
April 8, 2020 – Present
My personal blog about topics I find interesting in machine learning, deep learning and AI.
View Projecttable-evaluator
August 24, 2019 – Present
Evaluate real and synthetic datasets against each other
View ProjectVariational-Autoencoder-Pytorch
July 28, 2019 – June 27, 2020
Implementation of the variational autoencoder with PyTorch and Fastai
View ProjectInstaBot
July 7, 2019 – July 8, 2019
A fully automated Instagram bot that scrapes users and posts, follows users automatically and posts automatically. Additionally, it also has a telegram bot interface to control it.
View ProjectFakeFynder-Hackathon-for-Good-2019
June 14, 2019 – December 8, 2022
This repository contains our POC for a website which can easily check videos for manipulated areas. It was part of the Hackathon for Good in the Hague, 2019.
View ProjectAutomated-Product-Classification
June 3, 2019 – January 10, 2023
An implementation to classify products in 5 levels of hierarchical labels for the hospitality industry in Keras.
View ProjectOn-the-Generation-and-Evaluation-of-Synthetic-Tabular-Data-using-GANs
March 19, 2019 – June 21, 2023
Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in cutting-edge AI/ML topics, including LLMs and synthetic data generation, which suggests a fit for innovative and research-oriented environments. The diversity of projects, from hackathons to personal blogs and master's thesis work, indicates a broad intellectual curiosity. The current role at 'orq-ai' as a Data Scientist further aligns with the target role, suggesting a good cultural fit for data-centric organizations.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive and self-driven approach to learning and applying new technologies, which is positive for operational fit.