Welcome

I’m an NLP research engineer in EDF’s R&D department ¹. Day to day, my job splits into a few things:

1. Keeping up with the field. I read papers, review for the main NLP conferences, go to seminars, and follow a small set of blogs and social feeds. Most of what’s worth knowing shows up there first.
2. Applied research and prototyping. When something promising comes up, I build a proof-of-concept to see whether it holds up once you leave the demo. I also help design solutions that test whether a given NLP approach fits a real EDF problem.
3. Benchmarking off-the-shelf tools. Other EDF teams often need help choosing between vendors or libraries. I build custom benchmarks on our internal data so the decision rests on actual numbers rather than a sales deck.
4. Internal GenAI community. I contribute to EDF’s internal generative AI community: writing small tools, running workshops, giving training sessions, answering questions when people are stuck.
5. Running a research program. I supervise PhD students and graduate interns, mostly on encoder models and Retrieval-Augmented Generation (RAG) but also, more recently, on synthetic data generation.