Brian Grigore

Software Engineer // Embedded Systems & Cybersecurity

Brian Grigore

Software engineer with 2 years of professional experience developing mission-critical software across defense companies and financial institutions. Proven track record of winning 7 out of 10 hackathons, including Hack The North's Best Overall. Specialized in secure software development and AI-powered applications.

Work Experience

Software Engineer

L3Harris Technologies

May 2023 - August 2024 (16 months)
Waterdown, ON
L3Harris Technologies Logo

Architected and delivered mission-critical embedded software for multi-million dollar Intelligence, Surveillance, and Reconnaissance (ISR) systems deployed globally, serving defense customers in high-stakes operational environments.

  • Embedded Systems Engineering:

    Architected scalable embedded software solutions on Xilinx Zynq & UltraScale+ MPSoC platforms using advanced C/C++ and Linux kernel programming. Delivered zero-defect production code for mission-critical defense applications with 99.9% uptime requirements.

  • DevOps & Process Optimization:

    Designed and implemented automated provisioning pipeline using Python and Xilinx toolchain, achieving 75% reduction in manual deployment time (3+ hours saved per system). Integrated solution into Jenkins CI/CD infrastructure, scaling across 50+ production systems.

  • Technical Leadership & Infrastructure:

    Led cross-functional DevOps transformation initiatives, containerizing development workflows with Docker and orchestrating infrastructure provisioning with Ansible. Mentored 5+ engineers on agile methodologies, driving 40% improvement in sprint velocity.

Technologies Used:

Embedded C/C++PythonLinux KernelBashJenkinsGroovyDockerAnsibleJiraXilinx SoCs
Information Security Analyst

Manulife Investment Management

May 2022 - August 2022
Toronto, ON
Manulife Logo

Strengthened enterprise cybersecurity infrastructure for $800B+ assets under management through automated security compliance and risk assessment optimization.

  • Engineered automated risk assessment workflow using Microsoft Forms and JIRA APIs, reducing security intake processing time by 60% (1+ hour per request). Streamlined cross-team collaboration through JIRA and Confluence integration.

  • Developed Python-based security compliance automation framework, scanning 200+ enterprise websites for vulnerabilities. Achieved 125% of annual compliance targets through proactive vendor engagement and remediation tracking.

  • Optimized Akamai CDN configurations for enterprise web properties, improving page load times by 35% and reducing bandwidth costs through enhanced caching strategies.

Technologies Used:

PythonJira APIConfluenceMicrosoft FormsAkamaiCybersecurity Principles

Project Showcase

Network Sniffing Detector - macOS
Network Sniffing Detector - macOS preview

🏆 Winner, CSE Threat Detection Challenge

Production-grade threat detection system that identifies network reconnaissance attacks on macOS, implementing MITRE ATT&CK T1040 defensive strategies with real-time alerting.

Enterprise-grade security monitoring solution that performs real-time process and command-line analysis to detect network sniffing attacks. Integrates with Howler API for centralized security operations center (SOC) alerting. Validation testing conducted using Atomic Red Team framework ensures 95%+ detection accuracy against MITRE ATT&CK T1040 techniques.

Key Learnings:

  • Architected scalable security testing infrastructure using Docker containerization and Atomic Red Team automation.
  • Implemented advanced system-level monitoring techniques for real-time threat detection and behavioral analysis.
  • Translated MITRE ATT&CK threat intelligence into actionable defensive capabilities with measurable detection rates.

Technologies:

PythonDockermacOSHowlerMITRE ATT&CKAtomic Red Team
DigiSpotter
DigiSpotter preview

🏆 Winner, Best Overall

Computer vision-powered fitness application leveraging ARKit for real-time biomechanical analysis and automated form correction with 90%+ accuracy.

AI-powered fitness coach utilizing advanced computer vision and machine learning for real-time exercise analysis. Implements custom skeletal tracking algorithms on ARKit framework, processing 60fps motion data to provide instant feedback on form, range of motion, and technique optimization. Features automated rep counting, intelligent rest period management, and cloud-synchronized workout analytics via Firebase backend.

Key Learnings:

  • Achieved full-stack iOS proficiency in Swift and SwiftUI, implementing production-grade mobile architecture patterns.
  • Extended ARKit capabilities beyond standard use cases, developing custom biomechanical analysis algorithms for precision form evaluation with sub-degree accuracy.
  • Optimized real-time computer vision processing for mobile hardware constraints, maintaining 60fps performance on mid-tier devices.

Technologies:

SwiftSwiftUIARKitFirebaseiOS
YouToDo

🏆 Winner - Fostering Well-Being and Resiliency Track

AI-driven productivity optimization platform using custom scheduling algorithms to automatically distribute workload and prevent burnout through intelligent task management.

Machine learning-powered workflow optimization system addressing student productivity challenges through intelligent task distribution. Backend Python engine implements proprietary scheduling algorithms that balance cognitive load by strategically pairing high and low-complexity tasks. Features automatic workload chunking, predictive break scheduling, and seamless Google Calendar integration via OAuth 2.0 authentication for zero-friction adoption.

Key Learnings:

  • Designed and implemented full-stack architecture with Python/Flask backend, optimizing API performance and data flow patterns.
  • Integrated OAuth 2.0 authentication flow with Google Calendar API, handling complex permission scopes and secure token management.
  • Developed proprietary task optimization algorithms combining complexity analysis with time-boxing techniques, improving user productivity by 40%.

Technologies:

PythonFlaskGoogle Calendar APIGoogle CloudHTMLCSS

More Projects

(click 'em)

Skills & Technologies

Programming Languages

PythonEmbedded C/C++JavaSwiftC#TypeScriptBashGroovy

DevOps & Cloud

JenkinsDockerKubernetesAWSGitTerraformAnsibleCI/CD Pipelines

Frameworks & Platforms

Linux (Kernel & Userspace)React/Next.jsNode.jsFlaskiOS/ARKitFlutterXilinx SoCs

Security & AI

MITRE ATT&CKThreat DetectionComputer VisionMachine LearningNetwork AnalysisCryptography

Leadership & Tools

Agile/ScrumTechnical MentoringSystem ArchitectureAPI DesignDatabase DesignAdobe Creative Suite

Education & Certifications

Queen's University
Kingston, ON

Bachelor of Computing, Honours

2025 • 70% Hackathon Win Rate (7/10)

ISC² Certified in Cybersecurity (CC)

Issued 2024