Usbah Saleem

Usbah Saleem

Flutter Developer · Software Engineer · Cross-Platform Specialist

IslamabadBachelors
Available immediately Open to any modeSoftware & IT

Full-Stack Flutter developer with experience in AI-driven apps and REST APIs. Skilled in scalable state management and UI/UX design. Eager for intern roles.

About

Passionate Full-Stack & Flutter developer with hands-on experience building production-quality cross-platform applications and AI-driven solutions. Skilled in scalable state management, REST API architecture, real-time features, and crafting pixel-perfect UIs. Currently in 6th semester of BS Computer Science at COMSATS University Islamabad, with a portfolio of 5+ projects spanning social networking, AI, e-commerce, and productivity.

Skills

DartPythonJavaScriptJavaC++HTML/CSSSQLFlutterNode.jsFlaskSupabaseFirebaseRESTful APIsJWTProviderRiverpodBloc/CubitGetXSQLiteHivePostgreSQLGoogle Maps APIPostGISTFLiteOpenCVPyTorchGitGitHubFigma

Languages: English

Education

BS Computer Science

COMSATS University Islamabad

2023 - 2027

Intermediate

KIPS Girls College, Multan

2019 - 2021

Experience

AI Intern · SPS (Software Solutions)

Jun 2024 – Sept 2024

Contributed UI components and REST API integrations to a live client-facing application. Collaborated in Agile sprints and researched on-device AI model integration using TFLite.

President · Creative Dynamic Society (CDS)

2024 – Present

Led a multidisciplinary team of 300+ members managing planning, budgeting, logistics, and sponsorship for large-scale campus events.

Projects

NearConnect — Location-Based Social App

Engineered PostGIS geo-queries to surface nearby users and integrated one-on-one and group video calls using Agora SDK with WebRTC signalling.

View project →

ShopEase — E-Commerce Application

Built dynamic product catalogue with Stripe payment gateway integration and Firebase Cloud Messaging for real-time notifications.

View project →

AttendAI — Facial Recognition Attendance

Built a Flutter camera interface with real-time frame streaming to a Flask API for face recognition using MTCNN and InceptionResnetV1.

View project →
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