Generative data and infrastructure for autonomous systems
Built and optimized internal ML workflows spanning generative augmentation, trace processing, orchestration, and cross-cluster scheduling for perception workloads.
AI engineer working across research and production systems
Building machine learning systems for real-world use.
I work across autonomous driving, deep learning optimization, and MLOps infrastructure. At Valeo, that means shipping pipelines, accelerating JAX workloads, and helping models move from experiment to fleet-scale execution.
Selected Work
Recent systems and research threads
Block-wise differentiable Sinkhorn attention
A block-wise optimal-transport attention kernel with an exact tail-refinement adjoint, one-reference-tile schedule, and TPU-oriented JAX implementation.
Explore paperDeveloper tooling and mocking for faster preview loops
Built state and API mocking systems, configuration abstractions, and LLM evaluation work to reduce friction in production and internal engineering workflows.
Books
Reading now, and books worth returning to.
In progress
The public shelf as it stands now—not recommendations yet, simply the current stack.
Loading current reads
A live snapshot of my public Goodreads shelves.