Joris Rombouts Email & Phone Number

Stockholm, Se

Södertälje, Stockholm County, Sweden

The Smart Factory Lab guides Scania in adopting impactful digital solutions in production and logistics, driving innovation and efficiency in a rapidly changing digital landscape. As part of the AI driven team, some of my highlights include:• Implemented a Siamese deep learning network to automate pattern retrieval in ultrasonic quality control, reducing search time from weeks to seconds by leveraging AI to identify similar patterns in high-volume historic dataTopics: AWS, Gitlab, Snowflake, Python, SQL, Data Engineering, Deep Learning, Machine Learning, LLM, Generative AI

Södertälje, Provincie Stockholm, Zweden

• Achieved 100% compliance with UNECE R155 cybersecurity requirements by implementing a Software Bill of Materials (SBOM) Management System in AWS, ensuring regulatory approval.• Reduced daily infrastructure costs by 47% through the deployment of a fully serverless AWS architecture using Lambda functions, DynamoDB, and S3 for compute, storage, and database solutions.• Designed and implemented an end-to-end CI/CD DevSecOps pipelines with Gitlab, improving delivery timelines.Topics: AWS, Gitlab, Python, AWS Lambda, AWS DynamoDB, DevOps, REST, Docker

Eindhoven, Noord-Brabant, Nederland

Ximius provides software tools to improve patient flow in healthcare facilities.• Delivered a proof-of-concept computer vision healthcare application that classifies 3 types of medicines with 80% accuracy in under 1 second, removing the need of a quality check from a third party • Designed and implemented a NoSQL graph database that improved real-time patient data retrieval efficiency, enhancing operational decision-making in healthcare facilities.• Developed RESTful APIs for processing streaming data and enabling real-time analytics for improved patient flow management.Topics: NoSQL, Python, REST, Docker, Tensorflow, Computer Vision, Gitlab

Eindhoven

Teacher Assistant Deep Learning (2IMM10)• Designed and graded homework assignments for 50 students for 10 hours a week.• Topics: NLP, CNN, RNN and generative modelsTeacher Assistant Data Analytics for Engineers (2IAB0)• Assisted 40-50 students with data science related programming assignments in Jupyter notebook 10 hours a week. • Introduced first-year students to essential Python libraries, including Pandas, Numpy, Scikit-learn, and Seaborn, building foundational skills in data manipulation, analysis, and machine learningTeacher Assistant of the course Algebra for Security (2WF90)• Assisted 30-40 students with homework assignments concerning algebra, finite fields and number theory 4 hours a week. Implemented a tool for automatically grading homework assignments.• Topics: finite fields, polynomials and number theory.

Breda En Omgeving, Nederland

Salesman computer department.

Breda En Omgeving, Nederland

Responsible for a fluid process of incoming and outgoing products in the shop.

Msc Data Science In Engineering Cum Laude (8.4), Machine Learning

Exchange semester. Specialisation in Artificial Intelligence. Grades are on a seven-grade scale (A-F). Courses: Artificial Neural Networks.

Msc Data Science In Engineering Cum Laude (8.4)

List of courses and corresponding grades. Grades are on a 0-10 scale. Master thesis: “Anomaly detection in image data sets.

Bachelor Of Science, Software Science (7.6)

Atheneum (Vwo), Natuur & Techniek