Forever wandering the depths of phenomenological awareness.

Initially drawn to computer graphics, simulation, and high-performance computing, I now focus on building production-grade AI systems at the intersection of Computer Vision, Large Language Models (LLMs), and MLOps.

My interests span applied research, distributed systems, optimization, multimodal AI, and the engineering challenges required to bring machine learning systems into production.

• 🚀 AI Engineer (LLM, Computer Vision & MLOps):

  • Designing and deploying production-grade AI systems.
  • Building LLM-powered pipelines combining OCR, multimodal reasoning, structured extraction, and formal validation.
  • Working across software engineering, infrastructure, MLOps, and applied AI research.

• 🎇 Ex-VFX and Simulation Artist:

  • Background in procedural graphics, simulation, rendering, and GPU computing.

• 📕 Academic:

  • Dual Master's degree in Mathematics and Computer Science.
  • Specialized in Data Science, Machine Learning, Artificial Intelligence, and Optimization.

• 🏥 Medical Computer Vision R&D:

  • R&D internship at Avatar Medical in collaboration with Institut Pasteur.
  • Designed GPU-accelerated algorithms for 3D medical imaging and visualization.
  • Contributed to patent applications involving medical image processing.
  • Worked on machine learning and real-time tracking algorithms for medical applications.

• 💾 High-Performance Computing & Systems:

  • Advanced GPU programming and low-level development in C/C++ and Rust.
  • Experience building optimized CPU/GPU pipelines and multithreaded systems.

• 🌐 Blockchain & Decentralized Systems:

  • Applied AI and machine learning within the Starknet ecosystem.
  • Winner of multiple hackathon awards across AI, zkML, and decentralized systems.
  • Contributor to open-source blockchain infrastructure projects.

• Hackathon Winner: Multiple awards across AI, blockchain, and zkML competitions.

  • Starkware — Best use of Starknet Promising Projects
  • Nethermind — Best Runner Up Integration of AI in Transaction Simulation
  • Nethermind — Best zkML Project

• Research & Innovation:

  • Patent Pending: Co-inventor on a patent involving medical image processing and 3D reconstruction.
  • Contributed to research at the intersection of Computer Vision, Medical Imaging, and Machine Learning.

Some of my public projects spanning various domains:

• Emitter-Optimizer (Tensorflow)
• Microorganism-Computer-Vision (Work in Progress) (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, ...)
• Variational Sparse Coding for Sparse VAE (PyTorch)
• Information-Noise-Reduction-For-Investors
  • Rational Inattention proof-of-concept using Machine Learning.
• Social-Group-Clustering
• Community Identification Anthology
• GNN-IFECY070
• NLP-Course-Notebooks

• Big-Data-Project-IFEBY310 (PySpark, ETL, Parquet)
• Predictive Valve Guardian (Scikit-Learn, XGBoost, Streamlit)
• Learn GCP (GCP, BigQuery, VertexAI)
• DataBase-Project-IFEBY140 (PostgreSQL, BCNF-normalized database)
• Knowledge-Graph-IFNCY020 (SPARQL)
• Graph-DataBase-IFNCY020 (Neo4j, PostgreSQL)
• R Library (CA/MCA/CCA implementations)

• Madara (Rust Contributor)
• Board-Game-CPP