Petr Andreev

Specializes in CPython internals, optimization, and high-performance computing. Driven by GPU acceleration, CPU vectorization.
Evolved from ML systems to CPython core research engineer. 8+ years leading teams in AI, maths, and physics.
PyCon speaker: Free Threading: Future of CPython. Aiming to become a CPython core dev. Open to talks and collaboration.

LECTURER | Moscow Institute of Physics and Technology (MIPT) – top 1 Russian university
Designed 15-module Advanced Python course: OOP, async, parallel, PVM, GC, noGIL, CPython sources code and other
• Led 11 tech teams from idea to clients: youtube-insight-2025; your-job-offer; best-opportunity-provider; move-bro
• Conducted 30+ lessons on deep CPython internals and Computer Science, enhancing proficiency of 100+ students.
• Mentored 13 students to conference-level research: noGIL; new GC; mem.alloc; deep yield; type-hinted factorial calculus

Python
17/10/2025
Alfa
en
If you care about Python at scale—web servers, data pipelines, or reinforcement-learning loops—this session is your roadmap to a GIL-free future.
Developer
Advanced