Before joining Reflection, I was a Staff DL Engineer and Team Lead for YandexGPT pretraining at Yandex, focusing on distributed LLM training, optimizations, and model architecture. My work included FP8 training recipes, Context Parallel for long-context models, MoE training at scale, and development of a company-wide distributed training framework. Earlier, I led an Applied ML team and worked on large-scale fine-tuning for enterprise search and code assistance.
Interests
- Model Architecture
- Distributed Training & Efficiency
- Reinforcement Learning
Public Talks & Appearances
2025
- LLM Scaling Week - Session 1, Session 2 (November)
- Speeding up Training with FP8 and Triton - YerevaNN + Yandex Hall, Yerevan (English) (November)
- The Technology Behind Large Language Models and GPT - Armenian Science Week, Yerevan (English) (October)
- Moscow State University - Efficient DL Systems (Russian) (September)
2023
- DataFest 2023 - Machine Learning Talk