From MIPT teaching to leading GigaChat ML: ten verified public facts trace one career

Asked:
@gleleytner find everything about grigoriy leleythner

A best-effort review of indexed public professional sources as of 2026-09-04. Ten verified public facts, 2019–2025, drawn from employer pages, conference biographies, event listings and one publication record — covering education and teaching at MIPT and Deep Learning School, speech ML for Salyut assistants, and ML leadership for GigaChat. The handle @gleleytner itself could not be independently verified from indexed public pages.

Career path — every verified fact on one timeline

Education & teaching Professional work Public speaking Research publication ◆ dated fact   ○ undated — placed by career phase

Profile

Identity and name variants

Well corroborated as Russian «Григорий Лелейтнер» and English “Gregory Leleytner” (not usually “Leleythner”). The exact handle @gleleytner could not be independently verified from indexed public pages and is not proof of ownership.

Current work

An official Sber vacancy page identifies him as Head of ML, GigaChat (developers.sber.ru); a 2023 conference biography says he led the GigaChat ML team training LLMs and deploying them to production (highload.ru).

Prior work and teaching

Previously trained speech-recognition and keyword-detection models for Salyut voice assistants (highload.ru). Earlier an FPIM/FIVT MIPT student and Deep Learning School instructor, including a 2019 seminar on linear models (academy.megafon.tj, samcs.ru).

Talks

Presented “What we improved in the LLM pre-training process” at the 2023 SberDevices “Salut, GigaChat!” meetup (habr.com) and appeared in the 2024 GigaChat.Pretrain session as Head of ML Development (proglib.io).

Publication

Credited in 2025 on “GigaChat Family: Efficient Russian Language Modeling Through Mixture of Experts Architecture”, with author contributions in both pre-training and supervised fine-tuning (2025.aclweb.org).

Uncertainties

One conference page also labels him “Executive Director”; the organizational scope is not stated, so the title is flagged rather than harmonized (highload.ru). Weak or likely conflated results — unrelated biology papers, coding-contest entries, uncorroborated papers — were omitted.

What the timeline cannot say alone

All ten facts

DateCategoryVerified public factAffiliation or venueEvidenceSource

Method: curated verified timeline of 10 public-record facts about one person, compiled from indexed public professional pages as of 2026-09-04. Each row is one fact with its category, evidence type and source URL; 4 of 10 carry an explicit date, the rest are placed on the timeline by career phase. This is a best-effort review of indexed public sources — not literally all information, and not proof that the handle @gleleytner belongs to this person. Weak or likely conflated results (unrelated namesakes, biology papers, contest entries) were cut.

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