- Location
- Toronto, Ontario, Canada
- Resume
- Zidane_Virani_Riipen.pdf
- Portals
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Vancouver, British Columbia, Canada -
Toronto, Ontario, Canada
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- Categories
- Cloud technologies Software development Machine learning Artificial intelligence Databases
Skills
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Achievements
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Recent projects
AI-driven employment platform built for people with disabilities.
Project Title: AI-Powered Innovation for Inclusive Employment Project Description: This project explores how artificial intelligence can transform inclusive employment for the 1.3 billion people with disabilities globally , including over 600 million who are unemployed . Enabled Talent is an AI-powered job platform connecting individuals with disabilities to meaningful work through adaptive tools, job-matching algorithms, and accessibility-first design. Learners will review current AI technologies in job matching, accessibility, and adaptive learning , and assess opportunities to enhance platform features through software development, UI/UX design, app development, and data analysis . The goal is to provide insights and recommendations that advance Enabled Talent’s mission and market reach.
AI-Powered Automated Book Marketing and Review Publishing System
Develop an AI-powered book publishing and marketing automation system that eliminates manual effort. Students will contribute to designing AI workflows for content creation, book marketing, Amazon KDP automation, and scalable revenue tracking. The system will be entirely self-sustaining, capable of scaling hundreds of books while optimizing revenue and reader engagement through AI-driven decision-making
Work experience
Software Developer Co-op
Western University
London, Ontario, Canada
May 2025 - September 2025
Awarded $10,000 in research funding to drive the software development lifecycle of an automated AI-based news app
Architecting and training a Large Language Model using PyTorch, Hugging Face Transformers, CUDA, AWS EC2, S3, and SageMaker to automate trending news classification and improve research matching accuracy by 85 %
Implemented continuous training and deployment pipeline utilizing Docker, GitHub Actions, and MLflow, reducing manual model retraining and deployment effort by 50%
Software Engineer Intern
High Ticket Sales Agency
Toronto, Ontario, Canada
January 2025 - March 2025
Redesigned a data preprocessing microservice, using C, Golang, AWS, Airflow, Kafka, Grafana, & Cassandra, reducing processing speeds for petabytes of data by 94% in production
Implemented parallel processing of data by assigning a concurrent Airflow task to each shard of the database
Built service testing pipeline from scratch, using Jenkins & Python, reducing manual testing time by 50%
Software Developer Co-op
Dibbly Inc
Oakville, Ontario, Canada
January 2025 - April 2025
Built an AI-powered Q&A chatbot for Dibbly’s writing service, handling over 1,500 weekly queries with >95% accuracy.
Finetuned Llama2 with CUDA, PyTorch, EC2, and SageMaker on company GPUs, boosting model alignment with user intent by 35%.
Configured Milvus Vector DB for GenAI, on company infrastructure with Docker, Kubernetes, Bash, and parameter tuning, resulting in efficient data indexing and retrieval during vector search.
Built the chat model’s backend microservice using FastAPI and Elasticsearch, maintaining 1–5 second response times under load.
Founding Software Developer
Medium.com
Toronto, Ontario, Canada
January 2023 - February 2025
Scaled an AI-driven blog to 80k+ monthly views, generating $2.8k/ month in consistent net profit and over $35k in earnings to date.
Built scalable backend services using Python and FastAPI, implemented CI/CD pipelines with GitHub Actions, and containerized deployments using Docker for seamless integration and delivery
Personal projects
Computer Vision Model: Dog Vision (Top 20 / 500 on Kaggle)
January 2024 - April 2024
MobileNetV5, TensorFlow: Developed a CNN model achieving 94% accuracy on 20,000 labelled dog images.