About

Moeez Omair

Undergraduate researcher and software engineer working at the intersection of AI, computing education, and full‑stack development.

HBSc Computer Science · University of Toronto Mississauga · Class of 2026

LinkedIn GitHub

AI & ML Research Computing Education Full‑Stack Engineering Leadership & Community

In a world increasingly shaped by technology, I've grown alongside it, curious not just about how things work, but why we build them the way we do. As a computer science student at the University of Toronto, I'm always looking for ways to tie what I learn to something meaningful, whether that's through research, design, or writing code that solves something practical.

My interest in Large Language Model (LLM) systems like ChatGPT, Copilot, and Claude grew out of a long-standing interest in artificial intelligence prior to the pandemic. I've spent the past few years not just learning how these tools function, but also exploring the social and ethical questions they raise, especially as they become part of everyday life and education. These efforts have taken shape in academic research, public presentations, and curriculum development.

Outside of research, I've built various software projects and continue to experiment with new languages, algorithms, and processes. I work well in independent environments, but my contributions in team settings at work and as president of UTMSAM are visible too. I adapt quickly and enjoy challenges outside my comfort zone, both in code and communication.

Education

Honours BSc in Computer Science

University of Toronto Mississauga · Expected June 2026

My coursework spans machine learning (CSC311), advanced statistical computing (STA410), and statistical machine learning (STA414), building technical foundations I apply toward research and professional work.

Completed a year-long Research Opportunity Program (CSC499Y5) under faculty supervision, focusing on generative AI in computer science education.

Machine Learning Statistical Computing Research Methods

Publications

Peer-Reviewed Research

Research contributions in computing education and critical algorithmic literacies.

Omair, M., & Engineer, R. (2025). A Systematic Review on the Evolving Roles of Computer Science Educators with Generative AI. EDULEARN25 Proceedings, pp. 4134–4143. IATED. DOI: 10.21125/edulearn.2025.1073

First author · Peer-reviewed · Presented at international conference in Palma, Spain

Engineer, R., Omair, M., Hasan, A., Patlatii, A., Angeles, L., & Sarin, S. (2024). Introducing Critical Algorithmic Literacies in Computer Programming. Pressbooks (University of Toronto).

Contributing author · Open educational resource

Research Experience

Generative AI in Computer Science Education

Research Opportunity Program & Conference Speaker

University of Toronto · Sept 2024 – Jul 2025

I first-authored a peer-reviewed paper that I presented at IATED EDULEARN25 in Palma, Spain, where I engaged with international researchers on the pedagogical implications of LLMs in computing education. Through this work, I identified a critical research gap: the scarcity of empirical intervention studies in AI-assisted CS education. I also developed prototype teaching modules covering ethical AI, algorithmic fairness, bias mitigation, and inclusive design.

ML Research Co-op Initiative

Foundation for Student Science and Technology · May 2021 – Aug 2021

I built a Python-based neural network on the NHANES dataset for cardiovascular risk prediction. This involved implementing a data preprocessing pipeline with feature engineering, normalization, and regularization techniques.

LLMs in Education Algorithmic Fairness Neural Networks

Leadership & Service

Building Spaces for Thoughtful AI Work

President, Society of Algorithmic Modelling (UTMSAM)

University of Toronto Mississauga · Sept 2024 – Present

I organized EmberHacks 2025, a 24-hour hackathon with over 100 participants. We partnered with Major League Hacking and secured resources from Google, Anthropic, DigitalOcean, Auth0, and other corporate partners. I coordinated a judging panel of 7 faculty and industry professionals and facilitated workshops on AI ethics and LLM integration. I also launched an AI Safety Speaker Series that brings AI safety researchers to campus for interdisciplinary dialogue.

Managing Editor, Journal of Computing, Data, and Exploration

ISSN: 2819-6147 · May 2025 – Present

I serve on the editorial board of a student-run academic journal. We published our inaugural issue (Vol. 1, No. 1) in September 2025. My role involves coordinating manuscript review processes and liaising with authors across computing and data science domains.

Professional Experience

Software in Real Environments

Data Solutions Developer

Global Aviation Consulting · Sept 2025 – Present

I'm architecting an API integration that links an employee training platform with a live management system using SFTP protocol with authentication and admin controls. A big part of my role involves implementing intelligent error handling and recovery mechanisms for the live production environment.

Software & Data Solutions Intern

Synergy Group of Companies · Jun 2024 – Sep 2024

I developed internal solutions for managing expenses, assets, and workforce logistics using Python and C. I also streamlined workflows with SQL and Excel, which reduced manual processing time across the organization.

Information Technology Consultant

M3 Digitals Inc. · Sep 2021 – May 2024

I provided end-to-end IT solutions across enterprise-level server infrastructures. This included resolving hardware, software, and networking issues via remote and on-site support.

Backend Integrations Internal Tools Production Systems

Selected Projects

Tools for Learning, Models, and Design

Prove It! – AI-Enhanced Proof Writing Assistant

React · TypeScript · Node.js · Docker · Oct 2025 – Present

I'm building a full-stack proof assistant with a Slate.js LaTeX editor in a team of four. We integrated Google Gemini AI for context-aware tutoring and real-time error detection, and we're preparing for classroom deployment in collaboration with faculty.

Favourite City Analysis – ML Classification

Python · scikit-learn · pandas · Jan 2024 – Apr 2024

I created a predictive ML model achieving 85%+ accuracy for classification across multiple city attributes. The project involved benchmarking neural networks, k-NN, and decision trees to find the right balance between performance and efficiency.

Touch Grass – 2D Game

JavaFX · JUnit · Sep 2023 – Dec 2023

I collaboratively built a 2D JavaFX game with a team of four, applying software engineering practices like version control, code reviews, and testing. I integrated unit tests with JUnit and coordinated sprint planning.

Research, teaching, and community snapshots.

Technical Skills

Tools Across Research & Engineering

Comfortable moving from prototype notebooks to production systems, and from low‑level performance work to high‑level pedagogy.

Machine Learning & AI

TensorFlow, PyTorch, scikit-learn, Hugging Face; Neural Networks, Statistical Modeling, NLP.

Programming Languages

Python, C, C++, Java, R, SQL, Assembly, Go, JavaScript, HTML/CSS, PHP, LaTeX.

Data Science & Statistics

NumPy, SciPy, pandas, Matplotlib, SymPy; Advanced Statistical Computing.

Development Tools

Git/GitHub, Docker, Kubernetes, Linux, Azure, Android Studio, Visual Studio Code, Vim.

Research Methods

Academic Writing, Conference Presentation, Peer Review, Qualitative Analysis.

Workflow & Collaboration

CI/CD Pipelines, Agile Methodology (Jira, Notion), Slack, Office 365.

Awards & Recognition

Selected Honors

1

University of Toronto Student Leadership Award (UTSLA) Nominee

2026 · Recognition for leadership and community building as President of UTMSAM

2

International Experience Award (IE+)

2025 · Funding to present peer-reviewed research at IATED EDULEARN25, Palma, Spain

3

CSC499 Research Opportunity Program

2024–2025 · Year-long independent research under faculty supervision

Contact

Let's Collaborate

Open to opportunities in software engineering, AI research, and computing education, as well as speaking and mentoring engagements.

Reach me at:

LinkedIn GitHub