Seoul, South Korea

Research engineer building efficient generative AI systems

I love building things, optimizing, and solving technical problems.

Neural network optimization with a focus on pruning and graph optimization

Generative AI with a focus on diffusion models, and Computer Vision

Various tools and frameworks: Pytorch, ONNX, etc.

Experience

Bridging research and deployment for efficient AI

Research engineer at Nota AI, specialising in neural network optimization.

2023 — Present Seoul, South Korea

Joined the NetsPresso project as a research engineer, focusing on graph optimization.
First author on EdgeFusion, enabling on-device text-to-image generation through aggressive graph optimisation (in collaboration with Samsung Electronics)
Collaborated on various papers focusing on optimizing generative AI for edge devices.

2021 — 2022 Berlin, Germany

2020 — 2020 Meylan, France

Projects

A growing index for apps, tools, experiments, and practical systems I build across whatever problem is worth solving next.

A native macOS app for beautiful local Markdown notes, everyday lists, and project management.

Free local notes and project management, without subscriptions, for people who want to keep control of their files.

Selected Work

End-to-end platform that automates pruning, quantisation, and deployment for edge AI.

Delivered model optimisation workflows powering customer deployments across NPUs and GPUs.

On-device text-to-image generation system targeting mobile NPUs with optimised diffusion models.

Achieved sub-second inference budgets through graph-level optimisations and quantisation.

Lightweight Stable Diffusion variant for fast and affordable creative tooling.

Open-sourced recipe adopted by builders experimenting with efficient image generation.

Let’s collaborate

Questions? Feel free to reach out.

Availability

I'm open to talk about anything.