“Building solutions through code and data.”
I am a Computer Science graduate with a strong interest in software development, artificial intelligence, machine learning, and data-driven systems. My work focuses on building clean, scalable, and efficient applications that combine strong technical architecture with intuitive user experiences.
Throughout my academic and personal projects, I have developed experience in frontend development, full-stack web applications, statistical modelling, and data analysis using modern technologies and Python-based ecosystems.
I enjoy solving complex problems, optimizing systems, and transforming ideas into functional digital products. My portfolio reflects a combination of software engineering, analytical thinking, and modern design principles.
Technical experience includes HTML, CSS, JavaScript, Python, SQL, machine learning workflows, data visualization, API integration, responsive web design, and research-based technical documentation.
Here is my work experience, listed in order of most recent. Click a box below to view details.
- Marked, graded, calculated and recorded grades of students' work for COIS-3370H: Cyberethics.
- Commented upon students' work as required.
Focus: Hate-Speech Detection Using Machine Learning Models.
Supervisor: Dr. Wenying Feng
- Conducted research on recent developments in hate-speech detection (HSD) with emphasis on AI methods and models.
- Compiled, analyzed and summarized my findings from related publications in the field.
- Assisted in writing a literature review for a survey paper.
Focus: Harnessing Humour to Combat Anti-Vaccine Misinformation.
Principal Investigators: Dr. Andrew Alexander Monti and Dr. Bilal Momani
- Conducted data analysis on social media data (YouTube, Meta, Reddit, etc.) and securing access to platform APIs.
- Maintained ethical data integrity, employed ethical data collection.
- Performed pre-processing and sentiment analysis of the data.
- Assisted with categorization development, data classification, and logistic regression.
- Kept the research team updated on a weekly basis with progress and findings.
- Delivered high-quality customer service in a fast-paced environment with attention to detail.
- Worked with a diverse team to accomplish tasks and meet operational goals.
- Developed better time management and multitasking skills by handling multiple tasks simultaneously.
- Resolved hundreds of customer issues and complaints through regular interaction, ensuring better customer service.
Focus: Using Machine Learning Prediction Models to Improve Financial Wealth and Literacy.
Supervisor: Dr. Wenying Feng
- Developed and compared ARIMA, LSTM and hybrid forecasting models on Canadian financial datasets.
- Performed data preprocessing, feature engineering and model evaluation (precision, recall, F1, and MSE metrics).
- Co-authored a research paper detailing methodology, results, and recommendations for improving financial decision-making.
- Presented the finished research paper at the SNPD2025-Summer IV International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing.
- Provided fast-paced customer service in a high-volume quick-service restaurant environment.
- Took and prepared customer orders accurately while maintaining speed and efficiency during peak hours.
- Operated point-of-sale (POS) systems, handled cash and debit/credit transactions, and balanced tills at shift end.
- Prepared food and beverage items according to company standards while ensuring consistency, quality, and presentation.
- Maintained cleanliness of workstations, dining areas, and equipment in compliance with food safety and health regulations.
- Collaborated with team members to ensure smooth workflow, manage rush periods, and deliver a positive customer experience.
Hover your mouse over a project below to view the code and details.