Angie Wancowicz | Software Engineer

Cybersecurity-focused Software Engineer with experience building full-stack systems and automation tools at BAE Systems and Cosmetify, working with Python, Django, PostgreSQL, and AWS.

I am deeply committed to continuous professional development, having obtained the MTA Security Fundamentals certification and currently studying towards CompTIA Security+. My academic background includes a BSc(Hons) in Computing (Networking, Security & Forensics), with a final-year dissertation and project focused on classifying malicious URL.

GitHub: @angiiedev
LinkedIn: @angie-wancowicz

Projects

Noon Library Closed source
Noon Library

A website designed to help local businesses and charity shops without an online presence to list their books online and reach a wider audience, built with the intention of bringing people together in their local communities. The platform allows users to browse and search for books, make reservations, and contact sellers directly. Built with a focus on user-friendly design and seamless navigation, the website aims to support local communities by promoting sustainable shopping and reducing waste through book reuse.

Python Django PostgreSQL SQL HTML CSS JavaScript Git Docker Bootstrap

Closed-source project — media, details, and demo available upon request.

URL Classifier Closed source
URL Classifier

A machine learning-based URL classification system designed to identify and categorize URLs as malicious or benign. The project utilizes a combination of natural language processing (NLP) techniques and supervised learning algorithms to analyze URL features such as domain, path, and query parameters. The system is trained on a comprehensive dataset of labeled URLs, achieving high accuracy in detecting phishing, malware, and other malicious URLs. The architecture emphasizes scalability and real-time classification capabilities, making it suitable for integration into cybersecurity applications and threat intelligence platforms.

Python Scikit-learn Pandas NumPy Matplotlib Git

Closed-source project — media, details, and demo available upon request.

Web Design Services Open source
Web Design Services

A professional web design solution built primarily on WordPress, enhanced with custom HTML and CSS for tailored design and functionality. Delivers responsive, visually engaging websites optimized for performance, accessibility, and cross-device compatibility. Architecture emphasizes modularity and maintainability, with themes and plugins carefully integrated to meet client-specific requirements. Each project is developed following best practices in secure coding, SEO, and usability.

WordPress HTML CSS JavaScript
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Professional Experience

Software Engineer

Cosmetify, London | July 2024 – January 2026

Python Django PostgreSQL SQL ElasticSearch JavaScript jQuery HTML CSS Pandas NumPy SciPy AWS
  • Developed and maintained features for an e-commerce platform, enhancing core site functionality and reliability.
  • Designed and optimised PostgreSQL schemas, improving query efficiency and ensuring data integrity.
  • Implemented an automated invoice and payment system, eliminating manual reconciliation and reducing processing time by 70%.
  • Built an AI-driven product companion system using Python, Django, and LLM models, generating complementary product suggestions and increasing average order value by 15%.
  • Developed a sales reporting platform using Python, Pandas, and NumPy to aggregate, clean, and analyse large datasets.
  • Created an AI chatbot with Kommunicate, implementing conversational flows, custom intents, and backend logic to enable context-aware interactions per order.
Software Engineer

BAE Systems, Remote | September 2021 – May 2024

Python Django SQL/MongoDB JavaScript ReactJS HTML CSS Flask Pandas NumPy
  • Maintained and implemented backend and frontend code for a threat intelligence platform using Django, Flask, React JS, JavaScript, jQuery, HTML/CSS, and MongoDB.
  • Designed automation scripts that reduced repetitive engineering tasks (e.g., log parsing, reporting) by 60%, saving 15+ hours/week across the team.
  • Led code reviews and mentored a junior developer, improving code quality and accelerating onboarding.
  • Developed and deployed machine learning models in Python to automate data classification tasks, reducing manual analysis time by 45% and increasing accuracy by 30%.
Threat Intelligence Analyst (Placement)

BAE Systems, Remote | October 2023 – March 2024

Python Splunk MITRE ATT&CK IOC Analysis Linux Git Bash SIEM
  • Monitored and analysed real-time cyber threat intelligence feeds using Splunk, identifying high-risk activity and contributing to a 20% reduction in incident response time.
  • Analysed cyber threats to identify risks and vulnerabilities, providing actionable insights to enhance organizational security.
  • Conducted in-depth research on threat intelligence data, mapping attacks and techniques to the MITRE ATT&CK framework to assess potential impacts and recommend proactive mitigation measures.
  • Collaborated with cybersecurity teams to design and implement threat detection and incident response strategies, safeguarding sensitive data and systems.
  • Produced comprehensive reports and presentations on emerging cyber threats and indicators of compromise (IOCs).

Contact

If you have any questions or would like to get in touch, feel free to reach out via email at angelikamwancowicz@gmail.com.