Home - Carlo Lepelaars

Hi, nice to meet you! I'm Carlo Lepelaars and I enjoy exploring Artificial Intelligence (AI), Mathematics, Quantum Computing, Investing and Music. I love reading, thus I've compiled a list of my readings [here](/books).

I used to be an aspiring full-time drummer and played in various bands. You can still view live videos [here](https://www.youtube.com/watch?v=HLFZ8z8GSGI&list=PLx5WERJ3t5uXYIJ39ZFj5VfGEdCWp_scG). During this time I was studying Commercial Economics in The Netherlands.
I developed a fascination for AI, switched my focus and graduated in Data Science at the Eindhoven University of Technology (TU/e) in The Netherlands.
A major part of my education as a data scientist has been through working on data science competitions like [Kaggle](https://www.kaggle.com/carlolepelaars) and [Numerai](https://numer.ai). Creating and contributing to open source software has also been crucial. Through Numerai, I met [Jason Rosenfeld](https://crowdcent.com/about) and started working at [CrowdCent](https://crowdcent.com).
I play guitar and love [sim-racing](https://en.wikipedia.org/wiki/Sim_racing)!

(2022-now)

I work for [CrowdCent](https://crowdcent.com) as a (founding) data scientist on financial machine learning (ML), large language models (LLMs) and MLOps. CrowdCent is a startup working on investment strategies driven by AI trained on investment community data. CrowdCent is collaborating with investment community [SumZero](https://sumzero.com) on a fund. CrowdCent also runs a fund where we build ML models for the financial data science tournament [Numerai](https://numer.ai) and stake on them for investors.

Past Work

DeepNewz (2024)

Consultancy on:

Large Language Models (LLMs) workflows
- Prompt Engineering
- Automated News Story Writing
- Topic Classification
- Language Translation
Prediction Markets
- Prediction Market Generation
- Prediction Market Quality Scoring

VBTI (2020-2021)

Computer Vision for agriculture:

Rotational Estimation
Object Detection
Segmentation
Keypoint Detection

Weights & Biases (2020-2021)

Wrote technical blog posts for Weights & Biases on a freelance basis:

Open Source Projects

numerblox

scikit-learn components for [Numerai](https://numer.ai). We use NumerBlox within CrowdCent as part of our own Numerai infrastructure.

blackscholes

Black-Scholes (financial option pricing) calculator. A lightweight package to determine option prices with [extensive documentation](https://carlolepelaars.github.io/blackscholes/3.the_greeks_blackscholes) on the math behind the Black-Scholes model. I also built a [tool that uses this library](/tools/blackscholes) under the hood.

q4p

Quantum computing for (Python) Programmers. This course makes learning Quantum Computing accessible for software engineers and aims to simplify quantum computing to its essence. It is built in public and new entries are gradually added.

fh-plotly

[Plotly](https://plotly.com) to [FastHTML](https://www.fastht.ml) conversion plugin.

ghostnet_tf2

At the time one of the first implementations of the [GhostNet](https://arxiv.org/abs/1911.11907) CNN architecture for Tensorflow 2.0.

Open Source Contributions

scikit-lego

Extra blocks for scikit-learn pipelines. Contributions include building support for multi-output models, custom arguments and scikit-learn compatibility.

FastHTML-Gallery

A gallery of [FastHTML](https://fastht.ml) examples. I contributed a variety of examples, including [Visualizations](https://gallery.fastht.ml/split/visualizations/bloch_sphere), [Image Uploads](https://gallery.fastht.ml/split/dynamic_user_interface_(htmx)/multi_image_upload), [Text and button animations](https://gallery.fastht.ml/split/dynamic_user_interface_(htmx)/animations), [Dynamic table loading](https://gallery.fastht.ml/split/dynamic_user_interface_(htmx)/click_to_load), [Audio player](https://gallery.fastht.ml/split/widgets/audio) and [PDF viewer](https://gallery.fastht.ml/split/widgets/pdf).