Kelvin Wong is a Technical Analyst with 11 years of software experience, blending backend C#/.NET and Python skills with frontend AngularJS and cloud-native deployments on AWS. He has built and maintained modular trading platforms, worked with FIX messages and financial data providers, and automated pipelines using Docker, ECS and CI/CD. A data-minded engineer pursuing a Master of Data Science, he pairs practical production experience with interests in blockchain, machine learning and Go. Kelvin earned competitive recognition early in his career (APICTA and HKICT Certificates of Merit) and attended Stanford fintech entrepreneurship training, reflecting both technical depth and business curiosity. Known for methodical, flexible problem-solving, he also brings a tester’s mindset—his GitHub bio sums up a passion for test and debug.
11 years of coding experience
3 years of employment as a software developer
The University of Hong Kong (HKU)
Cheriton School of Computer Science, Cheriton School of Computer Science at University of Waterloo
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