Goh Sin Hau

Software Developer at S2T

Goh Sin Hau is a software developer at S2T Unlocking Cyberspace since November 2022, specializing in AI-powered investigations, WEBINT, OSINT, and FUSION. Prior experience includes a role as a software engineer at HomeBase from August 2020 to May 2021, where responsibilities included developing a mobile app using Flutter and Dart, integrating Firebase services, and deploying applications to major app stores while utilizing Agile Scrum methodology. Goh also worked as a web programmer at the Ministry of Education in Singapore from October 2018 to May 2019, developing educational games and collaborating with designers to enhance user experience. Goh holds a Bachelor of Science (Honors) in Computer Science, Information Technology from the University of London, completed in 2022, and received education at Singapore Polytechnic from 2016 to 2019.

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Singapore, Singapore

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S2T

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S2T builds AI-Driven Cyber Intelligence solutions based on real-world operational experience blended with deep technological expertise. Our tools have applications in intelligence, law enforcement, national security, defense, fraud detection, and cyber threat intelligence among others, and they provide actionable insights, are highly adaptable to customer needs, are highly automated, are driven by AI and deep learning. Real-world operational experience helps our people see the world from a different perspective than pure technologists or software developers. It drives our people to identify practical tools and capabilities that can help operational users in the real world, in realistic time frames and with realistic amount of resources. Our team brings to the table immense real-world operational experience spanning decades and five continents. . S2T's solutions enhance the capabilities of organisations and analysts in areas of web and cyber collection, collation, analysis and generating insights and reports. These solutions leverage powerful collection capabilities spanning web sites, social media networks, darknet, and end-user devices and harness big data analytics, machine learning, and powerful visualisation tools.


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11-50

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