I am a recent graduate in Software Engineering from Concordia University, eagerly poised to launch my career in the dynamic world of technology. My passion for all things tech has driven me to explore various facets of the field, with a particular fondness for web development and self-guided learning in robotics and embedded systems.
Currently, I'm working on a new challenge – creating a Java API wrapper for Mistral AI. This project is not just about coding, it's about integrating cutting-edge AI technology in practical, user-friendly ways. I'm always open to collaborating and sharing ideas, so feel free to reach out!🚀
A React App that simplifies semester planning for Concordia undergrads. It integrates time management tools, personalized study timetables, and exam reminders, all accessible on mobile devices. Users can track their progress and connect with study groups. Designed with a user-friendly interface, this app offers a comprehensive, team-inspired user experience. #ReactJS #Javascript #HTML #CSS #Cypress
Parklive is the brainchild of Park'N'Go, created to revolutionize parking with cutting-edge AI technology. We received $10,000 in funding from the Gina Cody Innovation Fund, which has fueled our mission to simplify parking. Our app uses AI to interpret complex parking signage, offering real-time parking availability, seamless reservation and payment options, and a user-friendly interface. #ReactJS #NodeJS #HTML #MongoDB #Python
This project helped me improve my skills in C++, emphasizing efficient memory management and precise pointer manipulation. This resulted in significantly improved application performance. In addition, I played a pivotal role in the project by implementing intricate gameplay mechanics and dynamic user interactions, ultimately crafting an immersive and captivating gaming experience. #C++
The project aimed to address the research question: "To what extent can the removal of less informative data from the dataset impact the accuracy of the recommender system when using latent factors collaborative filtering and Pearson-correlation distance content-based filtering? To answer this question, two distinct recommender systems were created: a content-based system and a collaborative filtering system. #Python #GoogleColab
Montreal's parking challenges are real. Park'N'Go is the solution, reducing violations, simplifying signs, and enhancing language accessibility. The app provides easy feedback, bilingual translations, and clear restrictions. Stay tuned for the next iteration: ParkLive, a venture I co-founded. #ReactJS #Javascript #HTML #CSS #Figma
The project aimed to build a Java-based cross-assembler for Assembly Language using agile practices. It reads assembly source files, creates an intermediate representation, and produces an executable. The assembler has options and operates in two passes, generating instructions and resolving offsets. #Java #Assembly