Leon Camus
AI Researcher specializing in Education, with a strong background in fullstack software development.
About Me
Hi, I'm Leon Camus, a PhD Candidate in AI for Education and Fullstack Developer. My research focuses on developing AI-driven solutions for educational technology, particularly in automatic data annotation in data-scarce environments. I bridge the gap between cutting-edge AI research and practical educational applications, specializing in Transformer models, learning analytics, and educational data mining. My expertise spans educational AI research, fullstack development, and deploying ML solutions at scale. I'm passionate about leveraging technology to improve learning outcomes through intelligent systems. Beyond research and coding, I enjoy 3D printing, cooking, and caring for my plants.
Technical Skills
Its been some time since I started coding in 2011, and over the years, I've honed my skills across a diverse range of technologies and frameworks. Below is a snapshot of my core capabilities, showcasing my proficiency in various technologies and tools. I am always eager to learn and adapt to new technologies and methodologies to stay at the forefront of the ever-evolving tech landscape.
AI Development
Backend-End Engineering
Data Engineering
Front-End Development
DevOps & Tools
Embedded Systems
Projects
Attention Based Masking for Vision Transformer Pretraining
A research project on using attention based masking strategies for Vision Transformer Pretraining.
Research ProjectView Project
TU Grade - Moodle Plugin
AI powered grading assistant for Moodle quizzes, streamlining the evaluation process with advanced machine learning algorithms.
Moodle PluginView Project
TU Review - Moodle Plugin
Activity module, designed to facilitate controlled and secure review sessions of quiz activities
Design SystemGitHub
Tiny Filtercodes - Moodle TinyMCE Plugin
Plugin to insert over 135 plain filtercode tags into text areas using the TinyMCE rich text editor.
DashboardGitHub
Jsoncpl
Command-line tool for formatting and comparing JSON language files, enhancing readability and version control.
CLI ToolGitHub
Quikit - Quantum Simulation Engine
A Quantum Simulation Engine written in Rust, compiled to WebAssembly and running in the Browser.
Rust / WASMGitHub
QCVIS - Interactive Visualization of Quantum Algorithms
A interactive Web Application for visualizing Quantum Algorithms with novel 3D techniques.
Web AppGitHub
ngx-boring-avatars
A port of the Boring Avatars library (React) to Angular.
Angular LibraryGitHub
Share.rs
A simple file sharing service written in Rust, compatible with the ShareX client.
RustGitHub
Publications
Investigating Transformers for Automatic Short Answer Grading
Research paper exploring Transformer-based models for automated feedback generation in educational assessment.
Research PaperRead PDF
Resume / CV
Ph.D. Candidate in AI for Education
Conducting research on AI-driven educational technologies with focus on: Automatic data annotation and labeling in low-resource educational settings. Developing efficient ML pipelines for educational data processing. Learning analytics and educational data mining. Applying NLP and Transformer models to educational challenges.
Administrative Technical Employee
Development, enhancement and deployment of an AI-Based Moodle Question Type named TU-Grade with a local AI deployment, aiding correction and feedback generation. Development of a Moodle plugin connection the TU-Darmstadt Exam-Moodle to TUCaN. Development of diverse Moodle plugins to aid the examination process. Streamlining and automating the examination process at TU-Darmstadt. Mentored peers on front-end and back-end development and best practices. Managed internal IT services and infrastructure.
Research Assistant
Engineered and directed an “abort-at-any-stage”-Examination Plattform based on multiple microservices, capable of ingestion and ejection of PDF based exercises at any state (Exam creation, exam preparation, examination, review, correction and storage). Mentored peer engineers on front-end and back-end development and best practices.
M.Sc. Computer Science
Focus on AI, Machine Learning, and Data Science. Thesis on Transformer-based models for corrective feedback in automatic short answer grading.
Full-Stack Developer, Intern
Incorporating the role of Scrum-Master, solving complex interpersonal matters and pushing the team to its maximum performance. Implemented an event-based architecture using AWS:SNS, always keeping the applicant up-to-date on his applications state. Implemented 2FA via SMS (AWS:SNS). Mentored peer engineers on front-end and back-end development and best practices.
Research Assistant
Developed a highly flexible database schema for planning large-scale, distributed examinations across multiple locations, time slots, and examiners. Created complex views and performed analysis and optimization of time slot utilization and statistics. Resolved bugs and optimized exercises.