Machine Learning Engineer

Lead the data extraction research team at Onfido. Developed a novel OCR solution that significantly improved Onfido's document reading capabilities.

Research Lead

Researched and implemented machine learning methods to help automate document verification. Applied deep learning to problems such as document classification and text recognition (OCR).

Machine learning engineer

Worked on state of the art speech recognition systems based on recurrent neural networks.

Worked as a PhD candidate on applying deep learning methods to medical imaging data (Mass spectrometry imaging). Provided statistical analysis services to the local hospital additional to this.

PhD Candidate on 'Deep Learning for Medical Imaging'

Dependency visualisation of the Google codebase. I build a tool from scratch to explore and visualise code dependencies in the Google codebase. The tool consists of a web interface written in JavaScript that communicates with a backend written in Python.

Software Engineer Intern

Worked in an international team of 4 business and IT students where we developed an innovative service from scratch. A prototype and a business case were presented for top management of IBM and other stakeholders.

Extreme Blue Intern

Created Python extensions for MORSE (Modular OpenRobots Simulation Engine) and Blender to simulate robot armatures, in supervision of Prof. Herman Bruyninckx. Summer intern - Python programmer at Katholieke Universiteit Leuven - Department of Mechanical

Summer intern - Programmer on the MORSE Project

Started programming in Python before enrolling into university. Have been using Python over all these years mainly for data analytics, training machine learning models and putting those into production.

Tensorflow for mainly computer vision related deep learning projects such as classification, segementation and OCR.

Personal details

Peter R.

Summary

Technical skills

Work Experience