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.

• 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

• 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

• Stochastic-Vector-Oracle-Consensus
• Astral-ZK-ML

• 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