CommerceSystemDemo
Production-style e-commerce backend with layered architecture, async PostgreSQL access, latency tuning, and complete metrics, traces, and logs for operational reliability.
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vladislav.antonov — senior c++ developer · software architect
Platform Engineering · Backend Systems · Computer Vision
Vladislav Antonov
13+ years building high-performance C++ backends, computer vision pipelines, and distributed microservices. This front page highlights selected systems that show production architecture, reliability, and delivery discipline.
Core Strengths
- Modern C++ (C++17/20/23) and performance-oriented architecture
- Distributed systems with Kafka, gRPC, event-driven patterns, and saga flows
- Computer vision and image processing with OpenCV, CUDA, OpenCL, Vulkan, and OpenGL
- Cloud-native delivery with Docker, Kubernetes, observability, and CI/CD automation
Featured Projects
ImageProcessingServiceDemo
Microservices-ready backend with FastAPI, PostgreSQL, Kafka, Kubernetes, and OpenTelemetry, demonstrating event-driven processing and deployable cloud-native architecture.
SimpleBankingTaskDemo
Layered C++ ATM service with an HTTP adapter, token-based auth, and an acceptance/BDD test suite driven red-to-green, showing clean architecture and disciplined TDD in modern C++.
MobileNetworkOperatorDemo
C++17 mobile-operator billing engine built from an explicit specification, with domain modeling, warnings-as-errors builds, and a full ctest quality gate covering the tariff rules.
CppConcurrencyPatterns
Practical C++ concurrency reference covering active object, reactor, lock-free data structures, and synchronization strategies for robust high-throughput services.
color2gray
Algorithm-focused CV project with CUDA, OpenCL, Vulkan, and OpenGL compute implementations, demonstrating optimization across multiple GPU backends.
CascadeClassifier
Modernized legacy OpenCV cascade training stack with tools and CI, representing deep C++ codebase maintenance and computer vision engineering expertise.
test_cpp_ci
C++ CI template with static analysis, sanitizers, valgrind, and automated checks, showcasing quality gates used to keep large codebases maintainable.