About
About Me
Graduate Student at Institut Polytechnique de Paris
I am a graduate student at Institut Polytechnique de Paris, driven by the vision of creating meaningful human-machine collaborations that can address complex global challenges. My academic focus lies in Data Science and Machine Learning, complemented by hands-on experience in web development and cloud computing.
Vision & Interests
My research and projects are guided by the belief that technology should augment human capabilities rather than replace them. I'm particularly fascinated by:
Machine Learning Systems
Systems that can adapt and learn from human feedback, creating more intuitive and responsive AI applications
Human-Centered AI
Development that prioritizes transparency, interpretability, and ethical considerations
Cloud Architecture
Enabling scalable and accessible AI solutions for diverse users
Web Technologies
Bridging the gap between complex algorithms and user-friendly interfaces
Project Experience
My journey in AI and data science is marked by diverse practical applications:
Game AI Development
Implemented Monte Carlo Tree Search (MCTS) algorithm for an Othello game, exploring strategic decision-making in gaming environments
Healthcare Data Engineering
Designed and deployed a comprehensive data pipeline for a hospital service, streamlining medical data processing and analysis
Large Language Models
Fine-tuned the Qwen model for generating solutions to aviation-related problems, demonstrating the practical applications of NLP in specialized domains
This project pushed me to the limits of my understanding of transformer architectures. There's something uniquely satisfying about seeing an LLM generate text with no "consciousness", if we put apart "attention". Still amazed at how context-aware these models can be!
Competitive ML & Hackathons
Regular participant in Kaggle challenges and the prestigious Hi!Paris hackathon, where I collaborated on innovative solutions to water scarcity problems
Current Focus
I'm actively seeking opportunities to work on transformative projects that:
- Enhance human decision-making through intelligent systems
- Develop collaborative frameworks where humans and machines complement each other's strengths
- Create sustainable and scalable solutions for real-world problems
- Push the boundaries of current human-AI interaction paradigms
"The future of technology lies not in replacing human intelligence, but in amplifying it."
What's Next
This webpage marks the beginning of an exciting journey where I'll be sharing all my future projects, ideas, and insights.
Stay tuned for regular updates on my latest projects and discoveries in AI, machine learning, and technology integration. Feel free to reach out for collaborations or discussions!
Feel free to explore my blog posts and projects to learn more about my work in this space. I'm always open to discussions about innovative ideas that can shape the future of human-machine interaction.
Working with healthcare data was a transformative experience. The ethical implications of handling sensitive patient information really shaped my approach to data security. Not to mention the late nights debugging data transformation pipelines before the due date 🍵!