Hi, I'm Jacco

Slidesearch

AI search for consulting slide archives, which I co-founded and built. Slidesearch makes presentations, proposals, and deliverables findable and reusable for people and their AI agents, with multimodal slide search, enterprise security, and an MCP server.

↗ Open project

Padeldichtbij

Make one link, share it in the group chat, and let everyone add their address. Padeldichtbij finds you the court that is fairest for everyone in terms of travel time.

↗ Open project

Achieving smoothness in sparse spatio-temporal autoregressive modelling

In my Master’s thesis, I adjusted the SPLASH model to stimulate smoothness among coefficients in a spatio-temporal setting, through novel integrations of the graph-guided fused LASSO in the estimation framework.

↗ Read the thesis (PDF)

Learning-to-Rank: Expedia Hotel Searches

A learning-to-rank solution for the Expedia personalised-sort Kaggle competition: LightGBM ranking models tuned with Bayesian hyperparameter optimisation (Optuna), reaching an NDCG@38 of 0.51 on the private leaderboard.

↗ Kaggle competition

Cancer subtype classification with sparse dimensionality reduction methods

This project compares the performance and usability of alternative sparse formulations derived from PCA, with an application to cancer subtype classification using high-dimensional gene-expression data.

↗ Read the study (PDF)

Ensemble Voting for a high-frequency cryptocurrency trading strategy

During my Bachelor’s thesis, I created an ensemble of machine-learning models to predict cryptocurrency price movements using high-frequency OHLC price data and derived indicators.

↗ Read the thesis (PDF)

Evolutionary Computing: training a game-playing agent

This project optimizes a neural-network controller for an agent in a game similar to Mega Man. Evolutionary Computing is employed to optimize the parameters of the neural network instead of mainstream backpropagation.

GitHub coming soon

Senior AI Engineer

Rewire · Jun 2021 – Present

Production-grade AI systems for enterprise clients.

• Claims platform. Lead engineer for an LLM-based claims platform at a leading Dutch insurer, with 100+ users in production. Its multi-agent pipeline, benchmarked with internal evals, reads personal-injury files exceeding 1,000 documents and tracks changes in a 2M+ document corpus, designed for fault tolerance across distributed workers.
• ML platform. Extended a multinational's ML platform with real-time model scoring, enabling data scientists to easily deploy new models to production through CI/CD.
• Forecasting. Hardened the forecasting platform behind an AI inventory-optimisation product through error tracing and failure alerting, to scale across about 10 countries.
• Teaching. Designed and taught Data/AI-engineering courses in Rewire's training programme (GAIN), aimed at data scientists, engineers, and consultants from enterprise clients.

Co-Founder

Slidesearch · Jan 2026 – Present

AI search for consulting slide archives.

• Mission. Founded and built AI search for consulting slide archives, helping consultants and their AI agents find and reuse past deliverables; piloted with a consultancy.
• Platform. Built the platform end to end on Azure: event-driven, fault-tolerant vision-aware multimodal ingestion and retrieval pipeline.
• Enterprise. Made it enterprise-ready: Entra ID SSO, tenant isolation, permission-aware search ACLs, live SharePoint and OneDrive sync, and an MCP server for AI agents.

Teaching Assistant

Vrije Universiteit Amsterdam · Apr 2023 – Jun 2023

Teaching Assistant for Data Mining Techniques in the MSc Computer Science programme.

Academic Tutor

FBSB · Sep 2020 – Jan 2022

Tutoring in Mathematics, Statistics, and Econometrics.

Day Coordinator LED 2022

Landelijke Econometristendag · Jan 2021 – Feb 2022

Chairman, Landelijke Econometristen Sport Toernooi (LEST)

Study Association VSAE · Jan 2020 – Dec 2020

Treasurer, VSAE Weekend committee

Study Association VSAE · Feb 2019 – Dec 2019

Chauffeur

Sjauf Technologies · Jan 2019 – Oct 2020

Round Employee

Case Electronics · Jun 2016 – Aug 2019

Sales and customer service, repairing and testing computers and phones, and workplace and network installation.

Master's degree, Econometrics and Data Science

Vrije Universiteit Amsterdam · 2021 – 2023

Average grade 9.0/10. Thesis grade 9.0/10. ↗ Open my Master's thesis (PDF)

Minor, Data Science and AI

University of Amsterdam · 2020 – 2021

Average grade 9.3/10.

Bachelor's degree, Econometrics and Actuarial Science

University of Amsterdam · 2018 – 2021

Average grade 8.7/10, cum laude. Thesis grade 8.5/10. ↗ Open my Bachelor's thesis (PDF)

Gymnasium

Gymnasium Camphusianum · 2012 – 2018