

- Location
- London, Ontario, Canada
- Bio
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Hi, my name is Muzzammil Mudathir and I am a fourth-year Computer Science student at Western University. I'm passionate about using technology to build meaningful, user-centric solutions that solve real-world problems. My interests span frontend development, backend engineering, AI integration, and UI/UX design—making me a well-rounded developer who enjoys bringing ideas to life from both a technical and visual perspective.
I’ve worked on projects ranging from AI-powered orchestration systems to data-driven web applications, which have strengthened my ability to collaborate, communicate clearly, and adapt quickly to new challenges. I especially enjoy working on frontend interfaces where I can combine creativity with logic to build seamless and accessible user experiences.
The FuturePath program aligns closely with my goal of gaining hands-on experience while contributing to projects that make a tangible impact. I’m excited by opportunities to solve real business problems, expand my skill set, and grow in a team-oriented environment.
What sets me apart is my curiosity, commitment to learning, and proactive communication style. I take initiative, seek feedback, and strive to make a meaningful contribution to every team I'm part of. I’m confident I can bring value to your project, and I’m looking forward to the chance to grow and contribute through FuturePath.
- Portals
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Toronto, Ontario, Canada
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Toronto, Ontario, Canada
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- Categories
- Artificial intelligence Databases Information technology Software development Website development
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Recent projects

AI-Enhanced Freedom Roadmap
The Clean Divorce aims to enhance its Freedom Roadmap by integrating AI to create an interactive user experience. The current roadmap provides users with a structured guide through the divorce process, but it lacks personalized interaction and adaptability. By incorporating AI, the goal is to offer users a more tailored experience that adapts to their unique situations, providing real-time feedback and guidance. This project will involve analyzing the existing roadmap, identifying areas where AI can add value, and developing a prototype that demonstrates these enhancements. The project will allow learners to apply their knowledge of AI, user experience design, and software development to create a practical solution that aligns with industry needs. - Analyze the existing Freedom Roadmap to identify integration points for AI. - Develop AI algorithms that can provide personalized feedback and guidance. - Design an interactive user interface that enhances user engagement. - Create a prototype demonstrating the AI-enhanced roadmap.

AI-Powered Digital Wellness Agent
Building upon the existing Quell App interface, this project focuses on developing an intelligent AI agent backend using Azure AI Services to empower users in managing digital habits and overcoming digital addiction. Students will design and implement an agentic workflow leveraging Azure Cognitive Services, to analyze user data and provide personalized interventions. This involves creating a sophisticated backend capable of understanding user behavior patterns, identifying triggers for excessive digital device usage, and delivering timely, supportive feedback directly within the Quell App. Learners will gain hands-on experience with Azure AI platform, agentic workflow design, and backend development for intelligent applications. The project will explore techniques for data analysis, natural language processing, and personalized recommendation systems, all within the Azure ecosystem. Deliverables include a functional AI agent backend prototype integrated with Azure AI Services, demonstrating core agentic workflows and personalized intervention logic, along with comprehensive documentation outlining the system architecture, Azure service utilization, and testing results.
Work experience
Frontend Developer
The Clean Divorce
April 2025 - May 2025
• Designed and implemented interactive, accessible React.js prototypes for an AI-powered divorce support platform.
• Translated UX requirements into scalable UI components using JavaScript and modern design principles.
AI Developer
The Quell App
February 2025 - March 2025
• Integrated AutoGen and Azure AI Foundry APIs to build a multi-agent orchestration system supporting addiction
recovery.
• Engineered a RESTful backend to unify agent interactions (Coach, Mentor, Therapist), prioritizing fault tolerance and
testability.
• Actively participated in Agile standups and iterative planning alongside mentors and senior developers.
Computer Programs Coordinator
Sadagaat Canada
November 2024 - Current
• Automated donor data processing using Salesforce and SQL, improving data accuracy for 500+ monthly records.
• Built Power BI dashboards to analyze donation trends, generating insights from financial data synced from QuickBooks.
• Promoted agile practices using Jira and Confluence; streamlined collaboration with Slack and Git.
Web Design Intern
BrainsCAN
London, Ontario, Canada
June 2024 - September 2024
• Maintained 100+ pages on Cascade CMS; enhanced accessibility and site speed by 30% using (HTML, PHP, and
JavaScript).
Software Intern
BrainsCAN
London, Ontario, Canada
February 2024 - May 2024
• Developed dynamic frontend components with React.js and backend APIs with Flask, boosting engagement by 50%.
Education
Bachelors, Computer Science
Western University
September 2022 - April 2026
Personal projects
Study Guide Wrapper
September 2024 - December 2024
https://github.com/MuzzammilMudathir• Developed a full-stack educational platform with a React frontend and C++ backend, connected via secure RESTful APIs.
• Ensured scalable performance and tested API robustness using automated integration tests.
Logic Quest
January 2024 - April 2024
https://github.com/MuzzammilMudathir• Built a logical reasoning game that converts English sentences into symbolic logic, tested with Python’s unittest.
• Managed version control and agile progress through Git and Jira.
Space Invaders
February 2023 - June 2023
https://github.com/MuzzammilMudathir• Created a Python-based game inspired by the classic arcade game, incorporating dynamic mechanics and interactive levels.
• Utilized Python game libraries (Pygame) to ensure smooth & responsive game controls, enhancing overall player experience.