DA

Developer passionate about the intersection of HPC and AI. Currently in my 5th year studying High Performance Computing at Paris-Saclay University. I explore ML/MLOps, GPGPU and algorithmic optimization. I share my projects and thoughts on this site.

research papers/books I recommend →

Machine Learning A Probabilistic Perspective

A book by Kevin Murphy, This books adopts the view that the best way to make machines that can learn from data is to use the tools of probability theory

Fake detection on LM-Generated texts and misinformation

This article presents all the methods I used to detect fake news generated by LLMs

Programming Massively Parrallel Processors

If you want to learn CUDA programming, this book is a golden mine. I Currently read it.

research papers by me →

my projects →

cifar10-pipeline

First MLOps project: reproducible CIFAR-10 training pipeline

local_rag_mistral

Simple local RAG stack for Mistral models

MachineLearningScratch

Learning ML from the ground up — Rust implementations

Valoc

Custom memory allocator in C using mmap/munmap

ProjectM1PathTracing

Collaborative path tracer (C++)

resume →