Naz Al Kassm

Software Engineer | Real-Time Systems | HCI Researcher

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Software engineer with 5+ years experience developing real-time applications, data acquisition systems, and hardware-integrated solutions. Published HCI researcher with expertise in Python, C#, and systems programming for immersive environments. Background in AI/ML from undergraduate studies and hands-on experience deploying ML-powered applications. Proven ability to deliver complex software for sensor data visualization, real-time processing, and cross-platform deployment in both research and production environments.

TECHNICAL SKILLS

Languages & Frameworks:

Python (FastAPI, SQLAlchemy), C#, JavaScript/TypeScript, Apex, SQL

Real-Time & Systems:

Unity Engine, real-time data streaming, concurrency/threading, memory optimization, hardware interface design

Data & ML:

Power BI, data visualization pipelines, GPT-4/OpenAI API integration, neural network fundamentals (BSc AI Stream)

Infrastructure:

Linux (Kali, Ubuntu), AWS EC2, CI/CD, Docker, REST API design, PostgreSQL, Redis

Hardware & Networking:

Secure communications systems, network protocols, VR sensor integration, radio/satellite systems

Development Practices:

OOP, modular architecture, API design, Agile/Scrum, cross-platform deployment (Windows/Linux)

Technical Skills
Leadership & Communication
Innovation & Problem Solving

WORK EXPERIENCE

Application Developer

Immigration, Refugees and Citizenship Canada (IRCC) | Mar 2025 – Present
  • Develop full-stack applications using JavaScript and Salesforce platform (Apex, LWC) for enterprise integration
  • Design and implement REST APIs connecting front-end components with back-end data services

IT Business Analyst

IRCC – Digital Strategy Services | Jun 2023 – Mar 2025
  • Facilitated requirement gathering and user story creation for digital automation initiatives and pilot projects
  • Led high-priority implementation projects reducing manual processing and enhancing stakeholder satisfaction
  • Managed product backlogs and sprints in Azure DevOps while collaborating across teams

Communications NCO

National Defence | Mar 2025 – Present (Part-Time)
  • Deploy and monitor secure communications networks integrating radio, satellite, and computer systems for operational readiness
  • Troubleshoot hardware-software integration issues across heterogeneous systems with strict reliability requirements
  • Ensure adherence to Defence IT security protocols and identify communication system vulnerabilities

Project Analyst

IRCC – Enterprise Project Management Office | Aug 2021 – Jun 2023
  • Built data visualization dashboards (Power BI) processing 50+ project datasets into real-time executive reporting
  • Developed automated data pipelines reducing manual reporting effort and improving data accuracy

Data Analyst

IRCC – Refugee Affairs | Jul 2020 – Jul 2021
  • Created dashboards and infographics translating complex operational data into actionable insights for executives
  • Automated data collection and reporting processes using scripting and visualization tools

VR Developer & Research Associate

Creative Interactions Lab, Carleton University | Sep 2019 – Sep 2022
  • Developed real-time VR applications in Unity/C# requiring precise timing, low-latency sensor input processing, and optimized memory management for sustained 90fps rendering
  • Built modular data acquisition pipeline integrating VR hardware (headsets, controllers) with Google Forms API for synchronized questionnaire administration and response logging
  • Implemented concurrent systems handling simultaneous user input, network requests, and real-time rendering without frame drops or data loss
  • Published peer-reviewed research at ACM Symposium on Spatial User Interaction (SUI '24) demonstrating software contributions to HCI field

EDUCATION

Master of Computer Science (Human-Computer Interaction) – Carleton University, 2022

Thesis: VR questionnaire administration systems | Advisor: Prof. Robert Teather

Bachelor of Computer Science (Artificial Intelligence Stream) – Carleton University, 2018

Coursework: Neural networks, machine learning, algorithms, systems programming

CERTIFICATIONS

PUBLICATIONS

TECHNICAL PROJECTS

APIScan.io – AI-Powered Security Scanner

Python, FastAPI, GPT-4, OWASP ZAP

  • Built SaaS platform with real-time API scanning, deploying ML-powered vulnerability detection on AWS Linux infrastructure with Redis caching and PostgreSQL storage

Al Bina Al Zaher – Engineering Platform

Next.js, TypeScript, PostgreSQL, OpenAI API

  • Developed full-stack application integrating AI visualization pipeline with edge caching, rate limiting, and multi-provider authentication

Pit Stop – Real-Time Data Platform

JavaScript, Sanity CMS, Vite, PWA

  • Built real-time data streaming application with live fuel price updates, automated status monitoring, and dual CMS architecture (Sanity + custom admin panel) for instant content synchronization

LANGUAGES

References available upon request.