I'm Alexis Yehadji, a Full-Stack Developer and AI researcher passionate about building reliable, scalable, and data-driven systems.
I currently work at Institut Pasteur (Paris), focusing on deep learning and biomedical image analysis.
Mission: Build intelligent systems that connect software engineering and applied AI.
Philosophy: Think precisely. Code cleanly. Deliver impact.
Location: Lomé (Togo) → Paris (France)
- Web Engineering: Architecture, APIs, and backend systems for scalable apps.
- Data Science and Machine Learning: End-to-end pipelines and neural network design.
- MLOps and DevOps: Automating training, testing, and deployment with Docker and Kubernetes.
- Open Source Development: Writing reusable Python and JavaScript libraries with documentation.
End-to-end system for audio emotion recognition using Wav2Vec 2.0 for transcription and BERT for sentiment analysis.
Includes a Gradio interface, API, and real-time inference demo.
Stack: PyTorch, Transformers, Gradio, FastAPI, NumPy
Python library published on PyPI for computing IoU-based matching metrics in segmentation tasks.
Lightweight and NumPy-based, designed for binary and multi-label masks.
Stack: NumPy, OpenCV, Scikit-Image, Python Packaging
Open source believer, research-driven developer, and lifelong learner.