Hi, I’m Eliza Su — a Software Engineering Technology graduate with a strong blend of cloud computing, AI, software development, networking, and project coordination experience. I enjoy building practical digital solutions that make life simpler, smarter, and more efficient.

I specialize in AWS cloud deployment, modern web development, automation, and data analytics. My background allows me to bridge both the technical and operational sides of project work — from writing code and configuring infrastructure to coordinating deliverables and supporting clients.

💻 Bachelor of Technology – Software Engineering Technology

McMaster University (2022–2025)

Developed strong competencies in software architecture, AI/ML, data analytics, cloud computing, and parallel programming. Completed senior engineering projects with top grades (A–A+), including work in:

• Cloud Computing (A+)
• Data Analytics & Big Data (A+)
• Real-Time Systems (A-)
• Software Architecture (A+)
• Data Structures & Algorithms (A+)

🖧 Computer Systems Technology – Advanced Diploma (Honours)

Seneca College — Graduating GPA: 3.6

Built a strong technical foundation in systems, networking, programming, and cybersecurity. The program included hands-on labs and advanced courses such as:

• Cisco networking & routing (multiple A/A+ courses)
• Python, C programming, PowerShell scripting
• Linux/Unix and Windows Server administration
• Information system security & cryptography
• Automation, clustering, Active Directory
• SQL database design & development

📡 Computer Networking & Technical Support – Diploma (Honours)

Seneca College — Graduating GPA: 3.6

Focused on IT infrastructure, troubleshooting, datacommunications, and client support. This program strengthened my foundation in hands-on technical operations and real-world IT systems.

🔍 AWS URL Scanner

Built a full-stack web application that scans and identifies potentially unsafe URLs. Hosted the frontend on S3 and deployed the backend on EC2 using Flask. Integrated DynamoDB for data storage and configured Route 53 with custom subdomains.

🍷 AI Wine Quality Prediction (Big Data)

Developed a machine learning model to evaluate wine quality using data analytics techniques. Performed feature selection, preprocessing, and model tuning to improve accuracy.

Before moving fully into software and cloud engineering, I worked in roles that strengthened my analytical, communication, and leadership skills — including Accounts Payable Team Lead, field service support, and project coordination positions. These experiences taught me how to communicate across teams, manage timelines, analyze data, and solve problems under pressure.

Outside of technical work, I enjoy helping students and volunteering. I previously served as a Student Mentor at Seneca and as a Scout Leader with Scouts Canada, supporting youth programs and community events.