I’m a dedicated software engineering student graduating in June 2025 🎓! I'm passionate about tackling new challenges and continuously expanding my skill set 🧠.

With hands-on experience in both Android mobile development 📱 and web development 💻, I enjoy building intuitive, efficient, and user friendly applications. I am passionate about user experience and design, and am always looking to transform ideas into impactful solutions.

Curiosity drives me to explore, learn, and grow. I’m always on the lookout for opportunities to challenge myself, contribute to exciting projects, and collaborate with like-minded people 🚀

• Im currently working on my Capstone project (Smartess- a smart home management system built for condominiums)
• I am self-learning React Native!
• I am taking a Big Data class, where im strengthening my knowledge of Python and its libraries, as well as Data analytics and ML.
• I am in the process of completing TheGreatFrontend's 3 month study guide to strengthen my JS skills

• My first freelance project, where I designed, developed, and deployed a website for MDV, a commercial landscaping and snow removal company. The website provides information about their services, showcases their work, and allows potential customers to get in touch.
• Google Maps API – Location pin on the map
• Resend – Form submission to company email (for questions/ quotes and job applications)
• i18n – Website supports both French and English
• Set up Google Ads

Tech Stack : React, TypeScript, Tailwind CSS, Next.Js, Vercel deployment,

Team lead (frontend) - Concordia University, Montreal QC

• Directed a 10-person team to deliver a condo management system using React and Firebase
• Managed task distribution and deadlines to ensure timely project completion
• Organized and led all team meetings, acting as liaison between the front-end and back-end teams
• Boosted team efficiency through Agile practices, including weekly scrum, sprint planning, and sprint retrospective meetings which fostered consistent progress toward project milestones

Core Competencies: React.js, Agile methodologies collaboration, time management, communication

Concordia University, Montreal QC

• This project processes and trains a convolutional neural network (CNN) to classify facial expressions into four categories: Happy, Angry, Neutral, and Focused. It involves data cleaning, preprocessing, visualization, model training, evaluation, and bias detection.