Daniel Kurniadi is a Site Reliability Engineer with nine years of experience building scalable, production-grade systems across fintech, adtech, and consumer platforms from Singapore. He’s currently shaping core banking cloud infrastructure at Thought Machine after stints developing market data systems at Arta Finance and the ByteHouse data warehousing platform at TikTok. A founder and former CTO of a generative-AI prototype startup, he blends hands-on SRE and backend engineering with product-minded rapid prototyping. His background spans deep learning research and computer vision work at A*STAR and Gojek, giving him strong ML-to-production instincts that inform robust data pipelines and reliability practices. Comfortable in low-level C++ and high-level cloud-native stacks, he’s equally at home optimizing model pipelines and orchestrating distributed services. Colleagues describe him as “permanent beta” — always iterating on tools and systems to shave latency and improve dependability.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Electrical and Electronics Engineering, Bachelor of Engineering (B.Eng.), Electrical and Electronics Engineering at Nanyang Technological University Singapore
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