Forever wandering the depths of phenomenological awareness.
Initially captivated by computer graphics and algorithms, my academic journey has since evolved into a fascination with optimization problems, data science, probability, and statistics.
- 🎇 Ex-VFX and Simulation Artist: Once immersed in the world of procedural graphics and simulation.
- 📕 Academic: Dual Master's degree in mathematics and computer science, specializing in data science and IA.
- 🤖 Data Scientist:
- Deeply involved in AI/Data Science projects.
- Multiple projects in database management (PostgreSQL, Cassandra
$\dots$ ) - Experience in big data processing (Kafka, Spark,
$\dots$ ) and their visualization techniques.
- ⛑️ Medical Computer Vision Impact:
- R&D internship at Avatar Medical in collaboration with Institut Pasteur.
- Designed algorithms for advanced 3D reconstruction and visualization of medical scans, contributing to patent applications.
- Contributed to cutting-edge research in MRI-specific machine learning applications.
- Worked on algorithms for real-time tracking in medical contexts.
- 💾 Low-Level & High-Performance Computing:
- Advanced GPU programming and low-level system development (C/C++/Rust).
- Expertise in multithreaded optimization and building CPU/GPU pipelines from scratch.
- 🌐 Decentralized Finance & Blockchain Enthusiast
- Applied machine learning and data science to the Starknet ecosystem (web3/blockchain), winning three awards across two hackathons.
- Contributed to open-source projects in blockchain.
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Hackathon Winner: 2x crypto/DeFi hackathon victories on Starknet, leveraging AI and data science.
- Starkware - Best use of Starknet Promising Projects
- Nethermind - Best Runner Up Integration of AI in transaction simulation
- Nethermind - Best zkML project
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Researcher: Explored the intersection of computer vision and medicine.
- Patent Pending: Co-inventor on a pending patent for 3D reconstruction techniques in medical imaging.
- Private Research: Contributed to MRI-specific machine learning applications.
Some of my public projects spanning various domains:
- Emitter-Optimizer (Tensorflow)
- Microorganism-Computer-Vision (OpenCV)
- Tumor-Classification-MA7CY070 (PyTorch)
- NURBS-ML
- Radon-Transform-Study
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Mastodon News - AI/MLOPS Agentic (Kafka, Langchain, Kubernetes, Django,
$\dots$ ) - Variational Sparse Coding for Sparse VAE (PyTorch)
-
Information-Noise-Reduction-For-Investors
Rational Inattention proof-of-concept using ML. - Social-Group-Clustering
- Community Identification Anthology
- GNN-IFECY070
- NLP-Course-Notebooks
- Big-Data-Project-IFEBY310 (PySpark, ETL, Parquet)
- Predictive Valve Guardian (Sklearn, XGBoost, Streamlit)
- Learn GCP (GCP, BigQuery, VertexAI)
- DataBase-Project-IFEBY140 (PostgreSQL, BCNF-normalized database)
- Knowledge-Graph-IFNCY020 (SparQL)
- Graph-DataBase-IFNCY020 (Neo4j and PostgreSQL)
- R Library (CA/MCA/CCA implementations)
- Madara (Rust Contributor)
- Board-Game-CPP