Marc Van Oudheusden Email & Phone Number

Seattle, Wa, Us

As a data science consultant helping AWS customers deliver business value with AI/ML:Structured data and time series:- Built a probabilistic predictor for football return yards using convolutional networks and rare event modeling - Led the implementation of a bond trading recommender using graph machine learning (Knowledge Graphs, Graph Neural Networks)- Developed t-link, a simple and competitive method for Link Prediction in Temporal Graphs - Built a fraud detector for a leading prepaid debit card company (SQL, Gradient-Boosting)- Designed and implemented an optimization algorithm for semiconductor testing (feature selection, discrete optimization) Natural Language and text:- Built a document chatbot demo based on generative AI (ChatGPT, Amazon Bedrock, HuggingFace, LangChain)- Built an adverse event predictor using medical claims data (CMSAI competition 2020, PyTorch)- Designed and prototyped a solution for medical code relabeling using clustering and representation learning- Surveyed and prototyped deep learning techniques for clinical data including ClinicalBERTComputer Vision:- Led the implementation of a video recognition pipeline for soccer games (I3D, SlowFast)- Provided statistical guidance to a visual anomaly detection project (unsupervised computer vision, PaDiM)

Nanterre, Ile-De-France, Fr

As the head of data science within the digital transformation team:- Cut capital cost by implementing machine learning forecasting on business loans- Improved trading backtest profits by creating and tuning a machine learning prototype - Built a product and client recommender for the debt market- Co-created the AI strategy and capability for the wholesale banking divisionTechnology: Python, Scikit-learn, Tensorflow/Keras, R, Flask, SQL, Hadoop, Hive, Spark, GPU

Nanterre, Ile-De-France, Fr

As the leader of a quantitative risk software team:- Cut the annual running cost while increasing quality ratings by designing, prototyping and leading the creation of the next risk computing platform for trading desks worldwide - Built and led a team of up to 18 software engineers, managed cross-functional project teams of up to 30 engineers covering quantitative, software and operationsTechnology: C#, SQL, Cassandra NoSQL, web services, private and public cloud computing

Nanterre, Ile-De-France, Fr

- Transformed a legacy computing system into a service oriented scalable distributed platform (runtime divided by 5) by rewriting the distribution component in C++ and Java - Cut the time to market for risk analytics from 2 weeks to 1 day by creating a scripting environment

Paris, France, Fr

Led the study and prototyping of a structural re-design for a large distributed computing platform (C++, Java)

Paris, Fr

Created interactive TV apps for our main product (Linux, C, Javascript, HTML)Netgem was a high growth tech startup that IPOed in 2001

Espoo, Southern Finland, Fi

Created prototypes to demonstrate internet technology equipment to telecom operators (Unix, Cisco OS)

Ms, Applied Mathematics

Meng, Communication Systems & Computer Science

Ms, Operations Research

Mathematics & Physics