About Konstantin
Senior GPU / CUDA engineer — numerical simulation & HPC
I build and optimise CUDA-based numerical simulators for scientific and
engineering applications. Typical engagement: take a CPU-bound numerical
model (PDE solver, Monte Carlo, particle transport, feedback-control sim)
and deliver a GPU-accelerated version that runs 20–100× faster, with the
numerical accuracy verified against the reference.
Recent project: a from-scratch CUDA Monte Carlo simulator of a nonlinear
feedback system (128³ domain, real-time visualisation) used to study how
excessive control gain destabilises the loop — happy to share a demo.
What I typically deliver
• CUDA / GPU acceleration of existing numerical code (5×–100× speedups)
• Simulation models from scratch: Monte Carlo, finite difference,
particle methods
• Diagnosis of numerical instability, noise amplification, divergent
control loops
• Performance profiling, memory-bandwidth optimisation, multi-GPU scaling
• Technical review / audit of existing simulation code
Stack
C++17, CUDA 12, Python (NumPy, SciPy, JAX), OpenMP, MPI.
Linux, Nsight Compute / Systems. Comfortable with ROCm / HIP.
Domains
Physics & plasma modelling, control systems, feedback dynamics.
Open to adjacent fields: medical imaging (MC dose), automotive / HIL,
quant backtesting, robotics / AV simulation, CFD.
Format
Remote, EU time zone.
Short audits (1–4 weeks) and long-term engagements (3+ months) both welcome.
English
Fluent
Russian
Native or bilingual
Remote only
Primarily works remotely
Experience
- Independent Consultant / Self-EmployedSystems Modeling & Simulation ConsultantJanuary 2025 - Today (1 year and 5 months)Developed a numerical simulation exploring how control effortinteracts with measurement noise and can destabilize feedback loops.The project demonstrates a class of behaviours where increasedactuation degrades effective observability and feeds energy into noise.Applications:• control system diagnostics• simulation validation• robustness analysis
- Independent Technical ReviewIndependent Technical ReviewENERGY AND UTILITIESJanuary 2024 - Today (2 years and 5 months)Independent technical review and analysis of engineering and simulation-based decision models.Focus on identifying structural weaknesses in models, including sensitivity to assumptions, numerical artefacts and unexpected dynamic behaviour.Typical work includes:• evaluation of modelling assumptions• sensitivity and robustness analysis• investigation of instability mechanisms in numerical models• technical review of simulation-based engineering decisions
- Ural Federal UniversityResearcher / Lecturer – Systems ModelingMECHANICAL ENGINEERINGSeptember 2014 - October 2020 (6 years and 1 month)Yekaterinburg, RussiaResearch and teaching in the area of complex systems and physical modeling.Work focused on developing and analysing models of nonlinear systems, with particular interest in phase transitions, emergent behaviour and strongly correlated systems.Activities included:• development of theoretical and computational models• analysis of nonlinear system behaviour• numerical modelling and simulation• supervision of student research projects• preparation of scientific publications and technical reports
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Education
- No degreeUral Federal University2015Studied theoretical physics with focus on strongly correlated systems and high-temperature superconductivity. The program included advanced mathematics, nonlinear dynamics, statistical physics, and computational modeling of complex physical systems.