About
Strive not to be a success, but rather to be of value. - Albert Einstein
Jorrit Klein Bramel
I am a software engineer and technology enthusiast dedicated to building elegant and effective solutions to modern business challenges. With over a decade of experience in software development and a keen focus on high-performance computing and data science, I bring a unique blend of skills to every project I undertake.
I hold a Master of Science in High Performance Computing with Data Science from the University of Edinburgh and a Bachelor of Science in Computer Science (Systems Engineering) with First Class Honours from Middlesex University London.
Publications
Klein Bramel, J.A., Borg, M. and Rello, L. (2020). Classifying Dyslexic Readers with Immersive Technologies using Machine Learning and Eye Tracking Measures.
Klein Bramel, J.A., Rello, L. and Borg, M. (2020). A Virtual Reality Prototype for Dyslexia. Presented at the Workshop on Information Technology and Systems (WITS) 2020.
Public Speaking
Klein Bramel, J.A. (2022). Orchestrating Data-Driven Pipelines With the Help of Pachyderm. Presented at Blipz on the Radar, Utrecht. 2022.
Projects
Have I Been Zuckered A public awareness tool designed to highlight privacy concerns on social media platforms. This project underscores my commitment to enhancing digital literacy and safeguarding online privacy. The platform allows users to check if they were affected by the Facebook data leak, handling over 500 million records while ensuring user privacy through k-anonymity and by not storing input data.
Have I Been Linked An initiative aimed at uncovering and informing the public about data scraping practices on professional networking sites. This project reflects my expertise in data science and my passion for transparent data handling in the digital age.
Programming
I am passionate about programming and have worked with various languages over the past decade. My preferred languages include: Go, Utilised extensively for backend development due to its efficiency and scalability; C, Applied primarily in high-performance computing for system-level programming; Python: Employed for data science tasks, including machine learning, data analysis, and scripting. I also have experience with Java, PHP, Bash, C# and front-end technologies such as Vue.js, React, and Angular.
Linux
With a strong background in system administration, I have experience across a broad spectrum of technologies: Operating Systems, Proficient with Unix/Linux and Windows environments; Virtualisation, Skilled in working with various hypervisors and virtualisation platforms; Containers, Experienced with Docker, Podman, and Kubernetes for containerisation and orchestration; Infrastructure as Code, Proficient in tools like Terraform and Ansible for automating infrastructure deployment; CI/CD Pipelines, Adept at setting up and managing Continuous Integration and Continuous Delivery processes to streamline development workflows.
Big Data
My work with big data projects includes designing and managing scalable infrastructure: Cloud Platforms, Extensive use of Amazon Web Services (AWS) for provisioning infrastructure; Data Processing, Experienced with Apache Airflow for workflow management and Apache Spark for large-scale data processing; Databases and Storage, Proficient with Amazon Redshift, Amazon Athena, and dbt for data warehousing and analytics; Streaming and Messaging, Skilled in Amazon Kinesis and RabbitMQ for handling data streams and message queuing.
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