I will develop, optimize and review cpp code

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valerii_kvan
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valerii_kvan
Valerii K
Alcune informazioni sono riportate in lingua inglese.
develop, optimize and review cpp code
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develop, optimize and review cpp code

Informazioni su questo servizio

C++ developer with 5+ years of production experience geometry algorithms for CAD systems (CADEX, Huawei), performance-critical code, and regular work debugging and extending codebases I didn't originally write.


I build clean, modular C++ that's actually maintainable: proper RAII and resource management, no unnecessary copies, code that a teammate can pick up without guessing. I achieved 30% performance gains on production algorithms through algorithmic redesign and SIMD optimization I think about complexity and cache behavior, not just correctness.


What I can help with: implementing new functions, classes, or algorithms from a spec; fixing bugs in existing code (including unfamiliar codebases I'm fast at reading and understanding code I didn't write); optimizing slow code after profiling; code review with specific, actionable feedback; computational geometry and CAD-adjacent problems specifically.


I explain my reasoning as I go what tradeoffs I made and why so you're not left with a black box. Send your code or spec and a description of the goal, and I'll confirm scope before starting.

  • Expertise

    • Algoritmi e strutture dati
    • Debug
    • Localizzazione
    • Performance
    • Procedure di test

  • Linguaggio di programmazione

    • C&C++

  • Framework back end

    • Flask

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Valerii K

Software engineer

  • DaRussia
  • Membro dagiu 2026

  • Lingue

    Russo, Inglese, Tedesco
I am a C++/ML engineer with over 5 years of experience building performance-critical algorithmic systems, specializing in computational geometry and BRep/mesh optimization. I have a proven track record of shipping production ML pipelines using PyTorch and Scikit-learn, including solving complex nonlinear optimization problems. With a Master's in Applied Mathematics, I excel at taking ambiguous research problems and transforming them into production-grade, modular code for real-world customers.

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