Anastasiia

Anastasiia Zahnibeda
Junior Data | AI Contacts
[open contact info](look above in the "contact info" section)
Master's student in Cybersecurity with a background in AI, information
LinkedIn
security, and secure software development. Experienced in Python,
Kreuztal, Germany
SQL, network security, and prompt engineering through academic
projects and internships.Completed an AI Chatbot Development
internship, contributing to prompt optimization, chatbot testing, and Skills
multilingual content management. Additional experience includes Technical Skills
automated software testing and data analytics using JavaScript,
Backend Development & Web Technologies
WebdriverIO, SQL, Power BI, and Tableau. Interested in cybersecurity,
Languages: Python, SQL, JavaScript,
artificial intelligence, and automation. Currently seeking opportunities
HTML, CSS.
to apply my skills, expand my knowledge, and contribute to innovative
Frameworks: Flask.
technology projects.
APIs: RESTful APIs, Web Services, Google
Work Experience Gemini API, Telegram Bot API.
Databases: MySQL, MongoDB.
Naturcamp Weidner GmbH
AI & Automation
AI Chatbot Intern June 2025 - June 2026
Workflow Automation: n8n, AI Workflow
Responsibilities: Automation, Workflow Design, Scheduled
Contributed to the development of an AI-powered chatbot to support Workflows.
digital customer communication. Generative AI: Google Gemini API,
Designed and optimized prompts to improve response quality, tested ChatGPT, Prompt Engineering, AI Content
chatbot functionality, and evaluated performance to enhance user Generation.
experience. Integrations: Telegram Bot API, RSS
Managed and translated multilingual content in German and English, Feeds, API Integration.
ensuring consistency and accuracy across chatbot interactions.
Collaborated on continuous improvements to chatbot usability and Data Analysis
overall performance.
Languages & Querying: SQL.
Data Preparation: Microsoft Excel, Power
Epam Systems Query, Data Cleaning.
Automated Testing Basics (CEE) Visualization: Power BI, Tableau,
Feb 2024 - Apr 2024 Dashboard Development.
Responsibilities:
Completed a two-week internship at EPAM Systems focused on
Automated Testing Basics (CEE). Soft skills
Gained hands-on experience with JavaScript, Node.js, WebdriverIO, Analytical Thinking
and dependency management while developing and executing Problem Solving
automated test cases. Critical Thinking
Strengthened knowledge of software testing methodologies, test Effective Communication
automation practices, debugging techniques, and modern QA Team Collaboration
workflows within an Agile development environment. Adaptability
Time Management
Projects

KeyFort – Password Security and Management Platform
Languages
Ukrainian - С2
Designed and developed a web-based password security platform that English - B2
combines password strength evaluation, secure password generation, German - B1
user authentication, and personal password management within a single Russian - C2
application.

Part 1: Public Password Security Service
Developed a public module allowing unauthenticated users to evaluate
password strength and generate secure passwords.
Implemented password strength analysis using entropy calculations and
probability-based algorithms developed in Python, while the web interface
was built using Flask, HTML, CSS, and JavaScript.
Part 2: Authentication & User Management
Developed a secure authentication and authorization module providing
registered users with access to personalized platform features.
Implemented user registration, login, profile management, and session
handling using Flask, with user information stored and managed in a SQL
database.

Part 3: Personal Password Vault
Built a personal password management module enabling authenticated
users to securely store, organize, edit, search, and delete password
records.
The backend was implemented in Python with Flask, while password
records were managed through a SQL database and accessed via REST
endpoints.

Part 4: Password Analysis & Generation Engine
Implemented a dedicated module responsible for password generation and
real-time security analysis.
Developed configurable password generation algorithms and password
strength evaluation based on entropy and security rules using Python,
integrating the functionality across both public and authenticated areas of
the platform.

Backend & Application Architecture
Developed backend services responsible for authentication, password
management, password generation, and password analysis using Python
and Flask.
Designed the application following a modular architecture, separating
authentication, password management, and password analysis into
independent components while exposing functionality through REST APIs
and persisting application data in a SQL database.

Architecture Evolution
Evolved the application from a password evaluation tool into a complete
password security platform by integrating authentication, password
management, password generation, and security analysis into a unified
architecture.
Refactored the project into modular components with clearly defined
responsibilities, improving maintainability, extensibility, and long-term
scalability.

AI News Automation System

Designed and developed an automated workflow that collects the latest
artificial intelligence news, generates AI-powered summaries, and delivers
daily updates through Telegram.

Part 1: Automated News Collection
Implemented an automated news collection workflow that retrieves the
latest AI-related articles from Google News RSS based on predefined
search queries.
Configured scheduled execution using n8n, allowing the workflow to run
automatically every day at 09:00 without manual intervention.
Part 2: News Processing & Aggregation
Developed a data processing stage that filters and aggregates retrieved
news articles into a structured dataset before AI processing.
Configured workflow nodes to limit the number of retrieved articles and
prepare the collected information for downstream processing.

Part 3: AI Summary Generation
Integrated the Google Gemini API to analyze collected news articles and
generate concise AI-powered summaries.
Designed prompts that transform multiple news items into a readable daily
digest suitable for Telegram delivery.

Part 4: Telegram Notification Service
Implemented an automated notification module that sends generated AI
news summaries directly to a Telegram Bot using the Telegram Bot API.
Configured the workflow to automatically deliver daily news updates
without user interaction.

Workflow Architecture
Designed an end-to-end automation workflow in n8n, integrating
scheduled execution, RSS feeds, AI-powered text generation, and
Telegram messaging into a single automated pipeline.
Implemented modular workflow stages for news collection, aggregation, AI
processing, and message delivery, enabling easy maintenance and future
extensions.

Architecture Evolution
Developed the solution as a scalable workflow that separates data
collection, preprocessing, AI content generation, and notification delivery
into independent automation components.
Designed the workflow to support future enhancements, including
additional news sources, advanced filtering, personalized topics, and multi-
channel notifications.