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Tuan Dat TranTT
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Tuan Dat Tran

@tuandattran

Lead Mobile Engineer at Stake Trade .Inc, scaling Domo to 1k+ MAU and $60k+ revenue in 3 months.

Vietnam
Message

At Stake Trade .Inc, I lead mobile engineering for Domo, a France-market card-bidding and collectibles platform. I own mobile architecture, delivery planning, code quality, and release execution while leading a team of six.

For Domo, I helped scale the Turbo monorepo across Mobile, Admin, and Backend as the platform reached 1k+ MAU and $60k+ revenue in three months. I also modernized bridge-heavy workflows and delivered features including SSO, push notifications, and in-app purchases.

At Stake Trade .Inc, I also worked on Quincus logistics apps and Prophet Exchange, a US-market P2P sports betting platform. For Quincus, I designed offline-first architecture; for Prophet Exchange, I developed GeoComply-based security flows.

Previously, I developed mobile products at ECOE Viet Nam, CXA Group, and Vexere JSC. My work has included real estate apps, healthcare and insurance features, transportation platforms, and a compact 6.7MB APK installer.

Experience

Work history, roles, and key accomplishments

EN

Senior Mobile Engineer

ECOE Viet Nam

Apr 2021 - Apr 2022 (1 year)

Designed and developed functional, scalable modules for a real estate platform in monorepo architecture using Flutter and GraphQL. Established a core design system and developed a complete chat module with voice and video calls.

VJ

Mobile Developer

Vexere JSC

Jan 2017 - Apr 2020 (3 years 3 months)

Developed and deployed transportation platforms including Vexere Driver, Vexere Delivery, and App Nha Xe with automated CI/CD pipelines. Integrated real-time tracking of drivers and customers' geolocation into maps and built a lean app with a 6.7MB APK.

Education

Degrees, certifications, and relevant coursework

University of Science, Ho Chi Minh logoUM

University of Science, Ho Chi Minh

Bachelor of Engineering, Software Engineering

2014 - 2018

Bachelor of Engineering with a concentration in Software Engineering, including additional focus on Data Science, Big Data, and AI/ML.

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