📌 Full-time Software Engineer working for the EPFL with strong interest and expertise in :
Software Development ➕ AI ➕ Data Science ➕ Biotechnology
📁 Software Development :
- Building on Open Source, mainly JupyterLab:
- Developing a tool used in university classrooms to enhance the interaction between teachers and students.
- Building JupyterLab extensions, such as this Table of Contents extension with code and markdown content (public download available).
- Many personal projects such as : a mobile Chat App, a Financial Dashboard, and a Scalable Dockerized Backend (with Flask/Nginx/Redis/PostgreSQL). Check my personal repos for other projects.
- Tutorials (Medium Articles), algorithmic trading and testing out new-coming development frameworks.
💻 Coding Skills :
| Languages | Python, JavaScript, TypeScript, CSS, HTML, Java, C++, SQL, Bash |
| Machine Learning | Supervised, Unsupervised, Reinforcement Learning, NLP, Transfer Learning |
| Frontend | React, Angular, React Native |
| Backend | Flask, Spring Boot, Node.js, Redis, Nginx, REST, GraphQL, WebSockets, Postman |
| DB | PostgreSQL, MySQL, MongoDB, Firebase |
| DevOps | Docker, Kubernetes, Git, GitHub Actions, AWS, Jira, Confluence, IaC |
| Certifications |
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📊 Personal academic projects involving Deep Learning, Computer Vision, Biotech and Data Science :
- Master Thesis on Using Deep Reinforcement Learning to Segment and Extract the Spatial Connectivity of 3D Neurons.
- Deep Learning and Graph Signal Processing to Classify Seizures from EEG Recordings.
- Implementation of a Computational Model of a Drosophila with Sensorimotor Functions.
📜 BSc & MSc at EPFL, Lausanne.
🌐 Lausanne, Switzerland.