Artem Lunev

Senior Research Software Engineer
Moscow, Russia | Telegram: @kotik_coder | Email: alounev@list.ru
GitHub: github.com/kotik-coder | Google Scholar: Scholar Profile
Willing to relocate | Open to remote | Languages: English (C2), Russian (Native), Portuguese (B1)

Professional Summary

Research Software Engineer with physics background specializing in performance-critical scientific computing. Developed multi-physics modeling systems for Huawei (thermomechanics), Netzsch (thermal/optical analysis), and UKAEA (thermal/radiative transfer). Expertise spans from micro-optimized C kernels to enterprise Java/Python frameworks, delivering sub-millisecond optimizations for real-time systems.

Technical Skills

Core Languages

C/C++ (performance-critical tasks), Java (enterprise applications), Python (prototyping)

High-Performance Computing (HPC)

Intel MKL, OpenBLAS, LAPACK, FFTW, SIMD/AVX optimization, cache-aware memory layouts, OpenMP, HDF5

System Architecture

Plugin frameworks with runtime component discovery, concurrent task scheduling, memory-managed data pipelines

Scientific Computing

Heat transfer modeling, Materials modeling (molecular dynamics, dislocation dynamics), ODE/PDE solvers (FEM/SEM/collocation), inverse problems, optimization algorithms, uncertainty quantification

Professional Experience

Huawei March 2023 – Present
Senior Engineer A (Computational Modeling) | Moscow, Russia
Netzsch Gerätebau GmbH February 2021 – February 2022
R&D Project Lead (LFA Measurement Systems) | Germany
UK Atomic Energy Authority (UKAEA) November 2017 – December 2020
Experimental Materials Scientist | United Kingdom

Education

Ph.D. in Condensed Matter Physics
National Research Nuclear University MEPhI, Moscow - 2014

M.Eng. in Physics of Metals
National Research Nuclear University MEPhI, Moscow - 2011

Publications & Patents

Google Scholar: Multiple publications in thermal analysis and materials science

Patents: US20230100308A1, EP4343293A1 - Novel measurement methodologies for laser flash analysis

Open Source: PULsE framework for inverse thermal problems