
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
