I’m a Senior AI Engineer at appliedAI Initiative, Europe’s largest initiative for the application of leading edge trustworthy AI technology with the vision to shape Europe’s innovative power in AI.
I’m passionate about machine learning, robotics, software engineering, and open-source development.
I am currently working on LLM and Agent projects for different clients.
When I’m not staffed on client projects, I work on internal projects, contribute to open-source projects such as pyDVL and help with TransferLab’s research projects such as the replication of the If You Like Shapley Then You’ll Love the Core paper.
I hold a M.Sc. in Embedded Systems from the Technical University of Kaiserslautern and a M.Sc. in Control and Automation from the Ecole Nationale Polytechnique in Algiers.
Professional Experience
- appliedAI Initiative GmbH
- Senior Artificial Intelligence Engineer
- July 2023 - Present
- Munich, Germany
- appliedAI - UnternehmerTUM
- Artificial Intelligence Engineer
- June 2021 - July 2023
- Munich, Germany
- Avira
- Specialist Artificial Intelligence Researcher
- October 2018 - May 2021
- Tettnang, Germany
- Fraunhofer ITWM
- Research Assistant (HiWi)
- July 2018 - September 2018
- Kaiserslautern, Germany
Education
- M.Sc. in Embedded Systems
- Technical University of Kaiserslautern
- September 2016 - October 2018
- M.Sc. in Automation and Control Systems
- Ecole Nationale Polytechnique Algiers
- September 2013 - July 2016
Projects
pyDVL An open-source library of stable implementations of algorithms for data valuation and influence function computation.
Langsfer An open-source library for language transfer methods and algorithms.
FreeCAD-Assembly2MuJoCo An open-source FreeCAD workbench for exporting a FreeCAD Assembly to MuJoCo for physics simulation.
Skills
Software Development
- Languages: Python, Rust, SQL
- Backend Engineering: FastAPI, Django, microservices architecture
- Database Systems: PostgreSQL, ElasticSearch
- Embedded Development: Raspberry Pi, ESP32, Arduino
AI & Machine Learning
- Computer Vision: Image processing, object detection
- Sensor Fusion: Multi-modal data processing, SLAM, localization
- Large Language Models (LLMs): Fine-tuning, deployment, optimization
- Retrieval Augmented Generation (RAG): Vector databases, semantic search
- Natural Language Processing (NLP): Text processing, language understanding
- Explainability (XAI): Model interpretability, debugging
- Data Valuation: Game-theoretic approaches (e.g. Shapley Values)
AI & Language Models
- Large Language Models (LLMs): Fine-tuning, deployment, optimization
- Retrieval Augmented Generation (RAG): Vector databases, semantic search
- Natural Language Processing (NLP): Text processing, language understanding
- Explainability (XAI): Model interpretability, debugging
DevOps & Infrastructure
- Containerization: Docker
- Orchestration: Kubernetes
- Cloud Platforms: AWS, Azure
- Experimentation: MLflow, Tensorboard, Optuna