MacEwan University
MacEwan University
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Saad Ijaz
Student
(1)
5
Resume
Ijaz, Saad Resume.pdf
Portals

Skills

Adaptability 1 Open mindset 1 Problem solving 1 Project collaboration 1 Stakeholder communications 1

Achievements

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Work-Integrated Learner
Issued by Riipen
The Work-Integrated Learner achievement is awarded to learners who applied their skills to a real-world problem by completing a project for an external partner. These learners provided real benefit to businesses while developing experience.
May 24, 2025
Community Builder
Issued by Riipen
The Community Builder achievement is awarded to learners who provided feedback to project partners at the conclusion of their project, helping to create a better experiential learning ecosystem for all participants.
May 23, 2025
Advance Ontario Project Completed
Issued by Advance Ontario: April 2025 Cohort
Awarded for successful completion of an Advance Ontario project.
May 16, 2025

Latest feedback

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Kavyne Bent
CFO
June 4, 2025
Individual endorsement
Problem solving Adaptability Open mindset Project collaboration Stakeholder communications

Saad was a committed and dependable team member who contributed both technically and collaboratively to the AI Agent project. His openness to learning, receptiveness to feedback, and dedication to group success made him a standout. He maintained a great attitude throughout and embraced the experience as a valuable growth opportunity.

Student feedback
Saad was a collaborative and thoughtful contributor who showed enthusiasm and commitment from the start. He approached the project with curiosity and a strong team spirit, and his work helped lay the foundation for a practical, real-world solution. It was a pleasure working with him.
Advance Ontario
Advance Ontario: April 2025 Cohort
Advance Ontario
Maid In Luxury
AI-Powered Agent
Maid In Luxury

Recent projects

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Maid In Luxury
Maid In Luxury
Mississauga, Ontario, Canada

AI-Powered Agent

Maid In Luxury, a premium cleaning service provider, aims to enhance its operational efficiency by developing an AI agent that optimizes cleaning schedules. The current manual scheduling process is time-consuming and often leads to suboptimal allocation of cleaning staff. The goal of this project is to create an AI-driven solution that can analyze various factors such as client preferences, staff availability, and location logistics to generate efficient cleaning schedules. This project will allow learners to apply their knowledge of AI algorithms, data analysis, and software development. The tasks include data collection, algorithm development, and testing the AI agent in a simulated environment. The project is designed for students in a computer science or software engineering program, focusing on AI and machine learning applications.

Matches 1
Category Software development + 3
Open

Work experience

Leaflet Distributor
Ontario Clean Air Alliance
Pickering, Ontario, Canada
August 2023 - November 2023

• Distributed 70+ hours of leaflets to neighborhoods, raising awareness on climate change and renewable electricity
• Recorded delivery information to optimize daily distribution operations
• Educated customers on renewable energy initiatives
Outbound Call Representative
KGS Research
June 2022 - September 2022

Conducted over 200 outbound telephone surveys weekly on public policy and consumer trends, providing actionable
insights for clients
• Collaborated with the quality control team to ensure data integrity and neutrality, leading to a 15% improvement in data
accuracy
• Adhered to strict schedules and deadlines, maintaining a 100% on-time project delivery rate, which enhanced client
satisfaction

Personal projects

Toronto Metropolitan Exam Scheduler

Developed and deployed a full-stack web application to enhance the academic experience of 1,000+ Toronto Metropolitan
University students
∗ Developed a Flask backend with a RESTful API and utilized Pandas for data processing
∗ Designed an intuitive frontend using HTML, CSS, and JavaScript
∗ Deployed the backend on Render and the frontend on GitHub Pages and Vercel
8-bit CPU Design

Designed and implemented a fully functional 8-bit CPU in VHDL, featuring an ALU, FSM, and 8-bit register storage
∗ Utilized Finite State Machine (FSM) to control sequential operations, including arithmetic and logic functions
∗ Developed a 4x16 decoder to convert states to opcodes and an ALU supporting operations like addition, subtraction, and
bitwise logic
∗ Deployed the design on an FPGA using Quartus for simulation and hardware testing