À propos de Karim
AI enthusiast passionate about leveraging cutting-edge technology to solve complex problems.
🔍 Data Scientist & IA / Machine Learning Engineer, 12y experience.
🧠 IA, Data Science, Machine Learning, Deep Learning, Large Language Models
🌐 Experience: Medtech, Biotech, Healthcare, Retail, HR. Teamlead.
🌟 Focus:
- Cutting-edge AI applications in healthcare
- R&D, PoC, and production-ready ML solutions
- Cross-functional team leadership
- End-to-end ML pipeline development
💡 Expertise:
- Deep learning: PyTorch, Transformers, self-supervised learning
- Machine learning and optimisation
- Large language models (fine-tuning, prompt engineering)
- Time series analysis, signal processing
- Real-time algorithms
- Multimodal data integration and analysis
- Foundation models for complex data types
🎓 Degrees:
- Ecole Centrale Paris (Msc Engineering)
- ESPCI Paris Tech (PhD)
🌐 Last clients: Sama Therapeutics, Happypal
Français
Bilingue ou natif
Anglais
Bilingue ou natif
Espagnol
Capacité professionnelle limitée
Portugais
Notions
Accepte de travailler sur site
Paris (jusqu’à 20 km)
Expériences
- Sama TherapeuticsPrincipal ML engineerSECTEUR MÉDICALoctobre 2023 - Aujourd'hui (2 ans et 8 mois)Boston, États-UnisAI and Engineering Innovations:- Developed foundational models for EEG data analysis
- Pioneered research in embeddings and self-supervised learning
- Focused on multimodal applications for neuroscience
- Built cutting-edge deep learning models for patient response prediction- Utilized multimodal data to enhance prediction accuracy
- Implemented advanced ML techniques for healthcare applications
- Engineered an AI-based chatbot for mental health support- Fine-tuned language models for therapeutic conversations
- Integrated NLP techniques with mental health domain knowledge
Technical Leadership:- Led the development of a comprehensive data platform for EEG recordings- Collaborated closely with the CTO on strategic AI and ML initiativesKey Skills Demonstrated:- Foundational Model Development
- Multimodal Data Integration
- Deep Learning for Healthcare
- NLP and Chatbot Engineering
- EEG Data Analysis and Processing
- Strategic AI Planning and Execution
- INBRAIN NeuroelectronicsData scientist | Team leadBIOTECHNOLOGIESdécembre 2021 - octobre 2023 (1 an et 10 mois)Barcelona, SpainAI and Engineering Innovations:- Developed deep learning models for brain mapping and real-time motor activity classification- Implemented closed-loop systems for neurotechnology applications- Oversaw scientific analysis and reporting for preclinical trials- Built an internal data analytics platformTechnical Leadership:- Built and managed a high-performing data team- Drove 3 transformative projects accelerating neurotechnology development- Directed all data initiatives, from strategy and budgeting to project execution- Established 4 strategic clinical partnerships- Collected valuable real-world data for collaborative researchKey Skills Demonstrated:- Deep Learning- Brain-Computer Interface Engineering- MLOps and Data Platform Development- Team Leadership and Project Management- Strategic Partnership Development
- DreemSenior Data scientist | ML engineerBIOTECHNOLOGIESmars 2015 - novembre 2021 (6 ans et 8 mois)Paris, FranceAI and Engineering Innovations:- Developed advanced PyTorch-based deep learning models for sleep analysis (sleep stage classification, pathology detection, event detection, data harmonization, noise and quality issues)- Implemented self-supervised, contrastive, and transfer learning methods- Real-time sleep stage classification and monitoring- Designed and implemented a brain-computer interface**Technical Achievements:**- Built end-to-end ML pipelines- Optimised EEG data management and processing workflows- Developed signal processing techniques for biological dataLeadership and Expertise:- Led R&D efforts, bridging machine learning and sleep science- Served as expert in EEG data analysis and management- Contributed to the design and implementation of Dreem's core technologiesKey Skills Demonstrated:- Deep Learning (PyTorch, Transformers)- MLOps and Data Pipeline Optimization- Signal Processing and Time Series Analysis- Data visualisation- Biomarker exploration- Real-time Algorithm Development (closed-loop) / Brain-Computer Interface Engineering
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Formations
- Ingénieur systèmeEcole Centrale Paris2012- Computer Science - Data science - Software engineering - Data engineering - Artificial Intelligence / Machine learning
- PhD NeuroscienceParis Sorbonne Université2019Brain plasticity Unit (ESPCI-CNRS) and DREEM - brain computer interface for sleep - Data science for neurological data