🎓 M2 student in Artificial Intelligence (MVA @ ENS) • EPITA (SCIA Track)
🔬 Interested in Deep Learning, Computer Vision
🚀 Currently seeking a Research Internship in Deep Learning & Computer Vision (April 2026)
🛠️ Currently building a lightweight Jarvis on my free time

• A modern local AI assistant with a clean, service-oriented architecture that implements function calls.
• The next step is to add an AI model for hand tracking to open up new possibilities.

Mobile app studio, leveraging data-driven design and scalable architectures.

• Designed scalable backend architectures for a mobile app with 2.5M+ downloads and 700K+ monthly active users
• Led development and cloud architecture across AWS and GCP
• Tech: TypeScript, SQL, NoSQL, Redis, Kafka, CI/CD

Implemented a hybrid recommender for short videos using the KuaiRec dataset

• Tech: Python, PyTorch, Pandas

Built supervised ML models to classify and summarize customer reviews

• Enhanced sentiment analysis & topic extraction
• Tech: PyTorch, Keras, Scikit-learn

A solo entrepreneurial venture:

• Event-sharing platform ranked among Top 150 apps

• 🩺 Google Healthcare Hackathon (Finalist) → WhatsUpDoc: AI medical assistant with MedGemma + Google Chirp
• ⚙️ Mistral AI MCP Hackathon (People’s Choice Prize) → MCP: DevOps co-pilot for human–machine orchestration

• Machina Capital – Software Engineer Intern

  • Streamlined quantitative trading workflows using Python & Airflow
  • Research on automation in trading infrastructure

• ThetysLab – Lead Software Engineer

  • Mobile app studio, leveraging data-driven design and scalable architectures
  • Designed scalable backend architectures for a mobile app with 2.5M+ downloads and 700K+ monthly active users
  • Led development and cloud architecture across AWS and GCP

• AI/ML: Python, PyTorch, Pandas, Scikit-learn
• DevOps/Cloud: Docker, AWS, GCP, CI/CD
• Tools/Others: C, SQL, Kafka, Git, Unix, TypeScript

🌐 LinkedIn