I’m a full-stack engineer and technical co-founder who enjoys turning ideas into reliable, production-ready software. I work across React and TypeScript web applications, React Native mobile apps, Android development with Kotlin and Jetpack Compose, and applied machine learning with PyTorch. I’ve built platforms from the ground up, improved performance and accessibility, and shipped products used by real customers and event attendees. I’m especially interested in collaborative product development, thoughtful user experiences, and practical applications of AI and machine learning. My experience ranges from launching an event platform and mobile social features to modernizing large-scale streaming app functionality and delivering healthcare risk-prediction models.

Charbel Tannous

I’m a full-stack engineer and technical co-founder who enjoys turning ideas into reliable, production-ready software. I work across React and TypeScript web applications, React Native mobile apps, Android development with Kotlin and Jetpack Compose, and applied machine learning with PyTorch. I’ve built platforms from the ground up, improved performance and accessibility, and shipped products used by real customers and event attendees. I’m especially interested in collaborative product development, thoughtful user experiences, and practical applications of AI and machine learning. My experience ranges from launching an event platform and mobile social features to modernizing large-scale streaming app functionality and delivering healthcare risk-prediction models.

Available to hire

I’m a full-stack engineer and technical co-founder who enjoys turning ideas into reliable, production-ready software. I work across React and TypeScript web applications, React Native mobile apps, Android development with Kotlin and Jetpack Compose, and applied machine learning with PyTorch. I’ve built platforms from the ground up, improved performance and accessibility, and shipped products used by real customers and event attendees.

I’m especially interested in collaborative product development, thoughtful user experiences, and practical applications of AI and machine learning. My experience ranges from launching an event platform and mobile social features to modernizing large-scale streaming app functionality and delivering healthcare risk-prediction models.

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Experience Level

Expert
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Work Experience

Technical Co-Founder at StreetCore
April 1, 2026 - Present
Co-founded an event platform for 3v3 street football and basketball tournaments and served as the sole engineer. Designed and shipped the full web platform using TypeScript, React, TanStack Start, Drizzle ORM, PostgreSQL, and Cloudflare R2, supporting a 180-attendee live launch event. Built a live event photo-sharing workflow with QR-code uploads, client-side compression, presigned direct-to-storage uploads for unreliable mobile networks, and an administrative review dashboard.
Android Engineering Intern at Anghami
July 1, 2025 - September 1, 2025
Migrated the Stories and Edit Profile features of a major MENA music-streaming application from legacy Java/XML to Kotlin and Jetpack Compose. Built the Stories bottom sheet and reusable loading and interface states as Composables. Refactored feature architecture from MVP to MVVM and introduced Hilt for dependency injection and StateFlow for reactive state management.
Software Engineer at Statbox
December 1, 2024 - June 1, 2025
Redesigned the client-facing website with React and Vite, reducing load time by 40% and achieving accessibility scores above 95 in Lighthouse. Built a shared component library with Tailwind CSS and shadcn/ui to standardize UI patterns across web and mobile. Shipped a React Native and Expo mobile app to the App Store and Google Play, implementing onboarding, authentication, profile, and social-feed features.
Machine Learning Intern at Healthcare Systems R&A
September 1, 2023 - December 1, 2023
Developed a custom bagged k-nearest-neighbors ensemble for cardiac catheterization risk prediction and a PyTorch neural network for adverse heart condition prediction. Achieved 77% validation accuracy with the ensemble and 85% accuracy with the neural network, using Ray Tune for hyperparameter optimization. Delivered the models to partner healthcare clinics to generate preliminary risk evaluations for physician review.

Education

Bachelor of Engineering in Software Engineering at Concordia University
September 1, 2022 - May 1, 2026
Bachelor of Engineering in Software Engineering at Concordia University
September 1, 2022 - May 1, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Computers & Electronics, Healthcare, Media & Entertainment, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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