Summary
Aleksey Parfyonov is a pragmatic systems and ML engineer with 13 years of experience building embedded and backend software in C++, C#, Java and Python, and a decade-plus history in performance-critical code. He bridges low-level engineering (FPGA, PIC32, embedded Linux) and modern ML/CV pipelines, shipping GPU-accelerated PyTorch/TensorFlow models and deploying them in Dockerized production. Recently he implemented high-load Rust components and GNSS-assisted landing logic while continuing to optimize computer-vision models (including an 80% raw color recognition result) with CUDA acceleration. Comfortable with full lifecycle development—from hardware bring-up and signal-level debugging to CI/CD and telemetry-driven testing—he combines practical hands-on skills with formal training in radioelectronic devices. Not obvious at first glance: he has repeatedly moved between domains, turning research prototypes (Blender-augmented datasets, time-series experiments) into deployable systems.
13 years of coding experience
12 years of employment as a software developer
Master's degree - engineering radioelectronic devices Computer Software Engineering, Master's degree - engineering radioelectronic devices Computer Software Engineering at Southern Urals State University
Bachelor Hardware engineering, Bachelor Hardware engineering at South Ural State University (SUSU)
English