Data Science & A.I.
Master @ TU/e
2022 - 2024
Data Science
Bachelor @ TU/e
2018 - 2022
I’m a recent Master’s graduate in Data Science & AI, with 4 years hands-on experience as a data scientist/machine learning engineer at an AI startup. I love diving into complex technical challenges and am particularly passionate about working with data and AI. My goal is to grow into a role where I can use and expand my knowledge of AI.
Avular Robotics is a scale up working on automated drones and robots.
Skills: Python, Pytorch, Computer Vision
Hawkeye is a small startup focusing on bringing computer vision to the Edge. The main focus was License-Plate detection using AI on the edge to minimize latency and reduce cost.
MLOps | To ensure our models were improving continuosly we implemented automated data collection and processing using AWS.
DevOps | Set up and maintain our self-hosted Gitlab CI/CD Pipelines so we could go from commit to deployment in under 30 minutes. This included setting up Docker containers, executing automated testing and deploying new versions of the software to production.
Software Engineering | Our product needed to work with multiple third party vendors for which we created custom APIs to ensure a seemless integration in the customers environment.
Skills: Python, CI/CD, Machine Learning
E.S.A.I.V. Serpentine is a Student Team at the TU/e that competes in A.I. competitions.
During my board year my main tasks consisted of setting up the internal education tracks so we could educate our members on the latest Reinforcement Learning techniques.
After my board year I was asked to join the Technical Advisory Board. There I advised the board on Technical Aspects for their ongoing projects. This ranged from advising on research papers which could be of interest to providing insights on the latest techniques to enhance the collobaration in technical teams.
Skills: AI, Tutoring, Scrum