Vyacheslav Semenovsky
@vyacheslavsemenovsky
I build anti-fraud and application-security tools using behavioral biometrics, Python, and traffic analysis.
Russian FederationWhat I'm looking for
I've built the Kinesis Biometric Engine, an end-to-end behavioral analysis system for session verification and API protection against headless browsers. I developed its Python analytical engine using Shannon entropy and first-order autocorrelation to assess cursor trajectories.
I implemented an HMAC-based handshake to protect telemetry from tampering and spoofing, and wrote Playwright validation scripts that simulate behavioral attacks and generate training data.
For an academic information-security project, I designed a 152-FZ-compliant Personal Data Protection System, produced security policies, incident-response plans, asset classifications, and security-level assessments, and configured database protection with ViPNet SafeDisk.
I've also analyzed PaySim financial transaction logs in Python, built a logistic-regression spam classifier with Scikit-Learn, and placed third in a regional cybersecurity competition after completing all Forensics tasks within five hours.
Experience
Work history, roles, and key accomplishments
Developer (Python / Security)
Kinesis Biometric Engine
Jun 2026 - Present (2 months)
Developed an end-to-end behavioral analysis system for session verification and API protection against headless browsers. Built the analytical engine using Shannon entropy and first-order autocorrelation methods to analyze cursor trajectory patterns.
Project Author / Developer
Personal Data Protection System (PDPS) Design
Jun 2024 - Present (2 years 2 months)
Designed a regulatory-compliant Personal Data Protection System (PDPS) model for a target organization according to 152-FZ guidelines. Drafted a full set of internal regulatory documents and deployed database protection suites using ViPNet SafeDisk tools.
Conducted statistical analysis on financial transaction logs (PaySim) in Python to flag anomalies. Implemented a machine-learning-based spam classifier with logistic regression using Scikit-Learn and applied standard application security (AppSec) controls.
Anti-Fraud & Security Engineer
Self Employed
Information security engineer and software developer focusing on application security (AppSec), bot mitigation, and data analysis. Combines theoretical foundation in regulatory compliance with practical experience in building defensive solutions.
Education
Degrees, certifications, and relevant coursework
Kabardino-Balkarian State University named after H.M. Berbekov (KBSU)
Bachelor, Programming of Intelligent and Automated Systems
Currently pursuing a degree in Programming of Intelligent and Automated Systems.
College of Information Technology and Economics, KBSU
Information Security Technician, Information Security
Grade: Graduated with honors (red diploma)
Graduated with honors (red diploma) as an Information Security Technician.
Tech stack
Software and tools used professionally
Availability
Location
Russian FederationAuthorized to work in
Job categories
Skills
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