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egor-fedorov/README.md

Egor Fyodorov

Backend engineer working on high-load asynchronous services in Python and Go. Currently focused on GPU media processing and systems programming.

Projects

trtvideo — GPU-resident TensorRT runtime for video models. Frames never leave VRAM across NVDEC → CV-CUDA → TensorRT → NVENC. Under a reproducible benchmark methodology it beats tuned VapourSynth implementations by up to 25.5% end-to-end FPS on SPAN, using 2.1–21.2× less CPU and 1.6–4.9× less peak VRAM.

safetensors.mojo — independent implementation of the Safetensors format in Mojo. Published in the modular-community conda channel and listed on the official Mojo package index. Strict format validation, mmap zero-copy tensor views, deterministic atomic writes.

Interests

Linux and operating systems · parallel programming · GPU computing · compilers · video processing (codecs, encode/decode, colour conversion) · Web3

Contact

LinkedIn · egorfyodorovv@gmail.com · Telegram

Pinned Loading

  1. trtvideo trtvideo Public

    GPU-resident runtime for TensorRT image-to-image video models

    Python 4

  2. safetensors.mojo safetensors.mojo Public

    Independent Safetensors format implementation for Mojo

    Mojo 2