Projects
- Designed and developed an AI-powered lost and found mobile platform using SwiftUI, enabling over 100 users to report, search, and match items based on title, category, location, and image similarity with 85% accuracy in test cases.
- Integrated Core Data for offline support and implemented a real-time chat system with avatar previews, timestamps, and unread message filtering, reducing resolution time by 60% between item owners and finders.
- Led user research through surveys and persona creation, uncovering key usability pain points and informing UI decisions that improved task completion rates by 40% during A/B testing cycles.
- Applied accessibility and design system standards with dynamic text support, screen reader compatibility, and Northeastern-themed branding, ensuring inclusive and consistent user experience across devices.
AI MatchingUX DesignSwiftUICore DataMobile AppLost & FoundUser ResearchChat SystemPrototypingAccessibilityDesign SystemsiOS DevelopmentData PersistenceCampus AppUsability TestingHuman-Centered DesignInformation Architecture
- Designed an AI-driven mentorship platform to connect Northeastern students and alumni for personalized career guidance, enhancing accessibility and engagement through intelligent matchmaking.
- Focused on user experience, crafting intuitive swipe-based interactions, network visualization, and AI-powered mentor matching to streamline the connection process.
- Conducted user research, developed detailed personas, and optimized engagement strategies based on survey insights, ensuring the platform met diverse student and alumni needs.
- Collaborated with cross-functional teams to refine the UI/UX, improve information architecture, and enhance usability, driving seamless navigation and interaction.
- Integrated accessibility considerations and iterative usability testing to ensure an inclusive and frictionless experience for all users.
UX DesignAIUser ResearchPrototypingMentorship Platform
- Developed an integrated solution to enhance efficiency in the insurance industry by centralizing data management, streamlining workflows, and enabling advanced visualization
- Employee Directory Management: Tracks workflows, hierarchies, and activities
- SQL-Driven Data Management: Efficiently stores and processes policies, claims, and customer data
- Insurance Processing System: Scalable solution for policy creation and claims handling
- Visualization Tools: Depicts stakeholder relationships for informed decision-making
- Trustify App: A user-friendly interface for policy exploration and claims processing
SQLReact.jsNode.jsExpress.jsMiddleware Integration
- Built a Progressive Web Application (PWA) for healthcare and insurance management
- Integrated WHO Disease Outbreak Tracker using RESTful APIs with interactive maps
- Developed a scalable backend using Node.js, Express, and MongoDB, with a React-based UI
- Implemented offline access, multi-language support, and secure payment processing
ReactNode.jsMongoDBPWA
Traffic Sign Classification Using CNN
Nov 2022 – May 2023
- Collected datasets, trained models, and conducted rigorous project testing
- Played a crucial role in all phases of development, ensuring project success
- Achieved an impressive 98% accuracy through strategic model enhancements
PythonTensorFlowCNNComputer Vision
Netflix Home Page Clone
- Utilized HTML, CSS, and JavaScript to meticulously construct a high-fidelity reproduction of the Netflix homepage
- Replicated the original site's dynamic layout, responsive design, and interactive features
- Illustrated expertise in UI/UX design, frontend frameworks, and web responsiveness
HTMLCSSJavaScriptResponsive Design
Phone Rating System
November 2021 – March 2022
- Employed the K-means algorithm to establish a phone rating system, utilizing Python for algorithm implementation
- Demonstrated adeptness in Python programming, machine learning techniques, and data analysis
- Applied expertise to implement an algorithm that intelligently categorizes and ranks phones
PythonMachine LearningK-meansData Analysis