Brian Pacouloute
Learner - He / Him
(1)
5
Location
Ottawa, Ontario, Canada
Portals
Categories
Artificial intelligence Databases Machine learning Project management Security (cybersecurity and IT security)

Skills

Collaboration 2 Cyber security 2 Cyber security management 2 Data extraction 2 Ethical standards and conduct 2 Presentations 2 Report writing 2 Student engagement 2 Vulnerability 2 Vulnerability management 2

Socials

Achievements

Latest feedback

Recent projects

PatchIT Solutions Inc
PatchIT Solutions Inc
Canada

Cybersecurity Data Collection Research Assistant

The main objective of the project, focusing on cybersecurity data collection and labeling for vulnerability management, is to enhance the understanding and management of cybersecurity vulnerabilities. This project aims to engage students in the crucial task of gathering, analyzing, and labeling data related to cybersecurity threats and vulnerabilities. Problem to Solve: Students will be tasked with addressing the challenge of identifying and categorizing various types of cybersecurity vulnerabilities. This involves the collection of vast amounts of data from different sources, such as security logs, network traffic, and public vulnerability databases. The key challenge lies in accurately analyzing and interpreting this data to identify potential vulnerabilities. Expected Outcome: By the end of the project, students are expected to achieve the following outcomes: 1. Comprehensive Data Collection: Students should be able to gather relevant cybersecurity data from multiple sources systematically. This includes understanding where to find data and how to extract it efficiently. 2. Effective Data Labeling and Categorization: Students should develop skills to accurately label and categorize the collected data based on the type and severity of the vulnerabilities. This involves understanding different types of cybersecurity threats and their characteristics. 3. Vulnerability Analysis Skills: Students should be able to analyze the labeled data to identify patterns or trends that could indicate potential security vulnerabilities or breaches. 4. Reporting and Documentation: Students should be able to document their findings in a clear and concise manner, providing insights and recommendations for vulnerability management and mitigation strategies. 5. Awareness of Ethical and Legal Considerations: Students should understand and adhere to ethical and legal standards in data handling, particularly regarding sensitive or personal information. 6. Collaborative Skills: Given the complexity of cybersecurity, students should also learn to collaborate effectively, sharing insights and combining expertise to tackle multifaceted problems. The success of this project lies in its ability to equip students with practical skills in handling real-world cybersecurity challenges, enhancing their ability to identify, analyze, and manage cybersecurity vulnerabilities in various environments.

Matches 6
Category Education + 1
Open

Work experience

Anti-Malware Software Developer
Wilfrid Laurier University
Waterloo, Ontario, Canada
October 2024 - March 2025

Collaborating with a Computer Security professor to develop an innovative anti-malware solution using C/C++ and Python, leveraging cryptography and cybersecurity knowledge to design advanced detection and prevention algorithms while researching modern threats to enhance software performance.

Web Developer
Sessila Academy
Ottawa, Ontario, Canada
May 2024 - August 2024

Designed and developed a secure, full-stack website using HTML, CSS, and JavaScript, incorporating robust client-side validation, accessibility standards, and responsive design for seamless cross-browser functionality. Additionally, coordinated daily operations, addressed inquiries, and maintained clear communication with parents and youth to ensure a smooth program experience.

Personal projects

AI Chess Engine
November 2024 - February 2025
https://github.com/brianpacouloute?tab=overview&from=2025-03-01&to=2025-03-17

Designed and developed an interactive chess platform with adaptive AI opponents using Python, featuring ANSI-colored CLI visualization, move validation algorithms, and tiered AI logic with heuristic decision-making for varying difficulty levels. Applied object-oriented programming and game theory concepts to create robust move generation and check detection systems.

COVID-19 Impact Visualization: Trends & Insights
August 2022 - September 2022

Developed an interactive data visualization project analyzing the impacts of COVID-19 using Python, Pandas, and Matplotlib. Processed large datasets to illustrate trends in infection rates, vaccination progress, and economic effects, presenting insights through dynamic charts and heatmaps to enhance data-driven decision-making.