Zachary Corber
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Concordia University • Montreal

Zachary CorberAspiring Software Developer

I build reliable, well-designed software with a focus on clarity, performance, and maintainability.

Software Engineering StudentMontreal, QC

About

A concise overview of my background and interests.

I'm a Software Engineering student at Concordia University based in Montreal. My background spans both software and hands-on technical work: I've built and repaired computers for years, and I bring that same curiosity and attention to detail into the work I do today. I enjoy creating clean, dependable projects with readable code, thoughtful UX and I'm always looking for opportunities to learn and grow as a software engineer.

Outside of coding:
  • I love watching and playing hockey, tennis, golf and football
  • I enjoy travelling and experiencing the world
  • I am also very passionate about the tech industry and its potential to shape the future

Education

Academic background and relevant coursework highlights.

  1. B.Eng Software Engineering
    Concordia University
    Expected Graduation: 2027
    Montreal, QC
    • Relevant Courses: Data Structures & Algorithms, Operating Systems, Data Analytics
  2. DEC in Commerce
    John Abbott College
    2020 - 2022
    Saint-Anne-de-Bellevue, QC
    • Relevant Courses: Calculus I & II, Linear Algebra

Technical skills

Tools and technologies I use to build and ship products.

Programming Languages
JavaPythonJavaScriptTypeScriptCC++
Frontend
ReactNextJSTailwind CSSReact NativeHTMLCSSExpo
Backend
NodeJSExpressJSSQLMongoDBDjangoAuthentication
Data Science
PythonPandasNumPySciPySeabornMatplotlibBeautifulSoup
Tools & Environments
Git/GitHubLinuxDockerCI/CDVisual Studio CodeEclipseXcodeAndroid Studio
Testing Tools
JUnitJestMaestro

Experience

Roles and responsibilities, with impact and outcomes.

  1. Data and Software Developer Intern
    Weddly
    May 2025 - Aug 2025
    Montreal, QC
    • Improved data quality by cleaning large data sets to optimize internal analytics
    • Implemented modern web technologies such as HTML and CSS to refine website development and design
    • Collaborated with a cross-functional team in a fast-paced environment to streamline tasks, improving project efficiency
  2. Freelance Computer Technician
    Self Employed
    Nov 2019 - Present
    Montreal, QC
    • Built custom computers tailored to client needs, such as gaming, productivity and general use systems
    • Configured all hardware components such as motherboards, CPUs, GPUs, RAM
    • Installed operating systems along with all necessary drivers and software
    • Performed major upgrades such as GPU replacements, RAM expansion, storage installation and CPU modification
    • Ensured both hardware and software systems were functional and stable

Projects

Selected projects showcasing full-stack/mobile development and data science skills.

Campus GPS Navigation App

A production-style campus navigation mobile app that demonstrates strong mobile engineering fundamentals, intuitive map-based UI, real-time location integration, and scalable React Native architecture.

React NativeExpoTypeScriptJestMaestro
  • Well-structured code with reusable components
  • Intuitive map-based UI with implemented authentication
  • 95% unit test coverage and end-to-end tests

Peer Grading Management System

A focused project showcasing strong UI/UX design and frontend engineering skills with a React-based peer grading management system for educational use.

MongoDBExpressJSReactJSNodeJSTypeScript
  • Responsive React interface for peer grading workflows
  • Intuitive UI for submitting and reviewing evaluations
  • Reusable React components for grading features

Event Registration System

A technical project demonstrating fundamentals: full stack development, database design, and design patterns.

ReactJSTypeScriptPythonDjango
  • Simple interface for browsing and registering for events
  • Well implemented design patterns
  • Reusable React components and Django models for event management features

Ethereum Network Demand Prediction

A focused project showcasing data science skills with a Python-based analysis and prediction of Ethereum network demand using historical data and machine learning techniques.

PythonPandasNumPyMatplotlib
  • Data cleaning and preprocessing of Ethereum network data
  • Exploratory data analysis to identify trends and patterns in network demand
  • Implemented logistic regression model to predict future demand based on historical data

Contact

Links to connect and reach me directly.

If you're hiring, collaborating, or want to chat, I'd love to connect.