AI researcher and co-founder at MIRAI — RAG, ML fairness, and regulatory compliance.
See a CV.
Contacts
[last name] . eta@gmail.com
also
you should learn about Azat Miftakhov
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!
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 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.
AI, fairness & logic
Semantics for trust in probabilistic and opaque systems (j/w Francesco A. Genco and Giuseppe Primiero), in progress
Evaluating AI fairness in credit scoring with the BRIO tool (j/w Genco, Piantadosi, Bagli, Giuffrida, Posillipo, Primiero), arXiv:2406.03292, May 2024
A bias detecting tool (j/w D’Asaro, Genco, Giannuzzi, Posillipo, Primiero, Quaggio), Proceedings of the 2nd Workshop on Bias, Ethical AI, Explainability and the role of Logic and Logic Programming, published v., January 2024
Category theory & type theory
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.