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AI researcher and co-founder at MIRAI — RAG, ML fairness, and regulatory compliance.

See a CV.


Contacts

[last name] . eta@gmail.com


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you should learn about Azat Miftakhov

Greta Coraglia

Mathematician turned applied AI researcher — specialising in Data Science, ML, and Generative AI, and driven by the challenge of making rigorous research into something practical, responsible, and socially useful.

I co-founded MIRAI with industry experts, driven by the conviction that AI compliance should be built on transparency and fairness, not just on ticking boxes. At MIRAI I led end-to-end R&D across several projects, combining applied research with hands-on development to turn ideas into concrete, working solutions.

I’m exploring new opportunities — if you come across an interesting challenge, I’d love to hear from you by email!


What I work on

My work sits at the bridge between research and engineering, ensuring theoretical insights become tested, maintainable, and explainable solutions aligned with regulatory requirements.

ML fairness & classification — In-depth assessments of classification algorithms, analysing performance, robustness, and fairness metrics to inform model selection and deployment decisions.

Generative AI & RAG — Designed and evaluated Retrieval-Augmented Generation pipelines, focusing on retrieval quality, answer faithfulness, and end-to-end system performance. Research findings translated directly into architectural and implementation improvements.


MIRAI

MIRAI is a company I co-founded with industry experts to help public and private organizations achieve regulatory compliance with transparency and fairness at its core.


Talks & Dissemination


Publications

AI, fairness & logic

Category theory & type theory


Background

Previously a postdoc with LUCI Lab at the University of Milan, on the BRIO project, and a member of the Scientific Committee of the ItaCa community. PhD from the Mathematics Department at the University of Genova, under the supervision of Pino Rosolini with the logic group.