Alexander Zhdanov

Designed and implemented e2e automated tests for REST API phishing detection. Developed and optimized CI/CD pipelines for continuous integration and deployment of security testing frameworks. Automated deployment and container orchestration with Docker to improve scalability and environment consistency. Conducted performance testing and verification for phishing feed metrics. Tools: Python, Pytest, Docker, Requests, Redis, Scylla-Driver, Locust. Environments: Windows, Ubuntu, Azure TFS, Oracle Linux 8.

Developed advanced cross-platform automation frameworks for Java installers in Liberica and OpenJDK projects. Leveraged computer vision algorithms and OpenCV to manage GUI interactions and environment variability, enabling adaptive automation beyond traditional scripting. Designed modular automation pipelines for complex installation workflows, improving reliability and maintainability. Tools: Python, OpenCV, Tesseract, Unittest. Environments: Windows, Cygwin, VirtualBox, macOS

Web automation testing: Selenium + Java Logger: Java, XML, XSLT, HTML, Apache HTTP, Kibana Framework: build a selenium-based framework to test a big javascript-written portal (java+selenium+xml+yaml, java.awt.Robot) Detection: OpenCV usage for visual checks Containers: Docker Performance testing: jmeter Deployment: maven, git

Modular Automatic Syntactic Signature Extraction: Analysis Modules

Identification of Network Attacks in Honeypot Traffic using Unsupervised Anomaly Detection

integration of VBA-macros processing in a legacy java CAD/CAE application

UI development

Efficiency Optimization of Realtime GPU Raytracing in Modeling of Car2Car Communication

A subsystem of heuristic analysis in branch and bound algorithm