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Fares samy MohamedFM
Looking for a job

Fares samy Mohamed

@faressamymohamed

Flutter Developer at ALOHA DOT building social-commerce and ride-hailing apps; led mobile development of real-time gold-trading products.

Egypt
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What I'm looking for

I'm open to on-site, hybrid, and remote roles, locally or with relocation.

At ALOHA DOT, I build Flutter features for DotChat, a social-commerce super-app, and Lymo, a ride-hailing platform. For DotChat, I owned core commerce and account modules, implemented KYC and recommended products, and contributed to wallet, feeds, and chat.

On Lymo, I built shared rider and driver UI modules and migrated legacy driver screens to a shared component library with light and dark themes. I also delivered Arabic and RTL support across migrated screens and a product-wide UI rebrand across the rider app.

At ALHAMD, I led Flutter development for Mizan Dahab and Mizan Signals. I built live gold-price dashboards with candlestick charts and RSI indicators, and developed SSE-powered trading signals with notifications and automatic reconnection.

My other work includes WSAL, a digital business-card app with NFC and wallet-pass sharing, and a Flutter graduation project for real-time Arabic Sign Language recognition using YOLOv8 and TensorFlow Lite. I focus on secure networking, offline-first architecture, and bilingual Arabic/English experiences.

Experience

Work history, roles, and key accomplishments

AL
Current

Flutter Developer (Part-time)

ALHAMD

Feb 2026 - Present (8 months)

Led Flutter development for gold-market products, building real-time dashboards and trading signals platforms with SSE and WebSocket. Implemented JWT authentication and a bilingual component library.

Education

Degrees, certifications, and relevant coursework

Benha University logoBU

Benha University

Bachelor of Science, Computer Science

2020 - 2024

Activities and societies: Graduation Project: Speaking Fingers - real-time Arabic Sign Language recognition system built with YOLOv8 + TensorFlow Lite, running fully on-device inside a Flutter app. Optimized on-device inference for low latency and memory efficiency, and owned the pipeline end-to-end.

B.Sc. in Computer Science from Benha University, Faculty of Science. Graduation project on real-time Arabic Sign Language recognition using YOLOv8 and TensorFlow Lite.

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