Gene Wu
Independent Technology Consultant at Stealth Mode AI Startup
Hong Kong, China
Summary
👤
Senior🎓
Top SchoolGene Wu is an entrepreneurial technology consultant and former CTO with 10+ years delivering AI, big data, and cloud-native solutions across FinTech, RetailTech, and AdTech from Hong Kong. He has repeatedly taken founding and leadership roles—scaling teams regionally for Feedzai and building product- and data-driven platforms as CTO at SmartRetail and WATI—while staying hands-on with full-stack development, LLM/RAG research, and CI/CD-driven deployments. Comfortable operating at the intersection of research and production, he designs secure, compliant systems for financial and document workflows that improve transaction accuracy and semantic retrieval. Known for embedding with client teams to align stakeholders and drive CIAM and enterprise revamps, he blends strategic architecture reviews with daily delivery oversight. His background includes academic R&D and commercialized IP from meteorological and text-mining research, giving him an uncommon mix of scholarly rigour and startup execution.
9 years of coding experience
17 years of employment as a software developer
PhD, MPhil, Data Mining & Pattern Discovery, Computing, PhD, MPhil, Data Mining & Pattern Discovery, Computing at The Hong Kong Polytechnic UniversityHong Kong University of Science and Technology (HKUST)Centre for Pattern Analysis & Machine Intelligence, Systems Design Engineering, Centre for Pattern Analysis & Machine Intelligence, Systems Design Engineering at University of Waterloo
Stackoverflow
1reputation
0reached
2answers
0questions
Github Skills (16)
compile7
git6
json6
shell6
curl6
gitignore6
ruby5
rails4
api3
react3
probot2
python2
github1
dvc1
data-pipeline1
Programming languages (4)
Github contributions (5)
gwu1/consistent_company_ruby
Aug 2016 - Oct 2022
Ruby implementation to make company names consistent for comparison purposes.
Contributions:1 release, 14 commits, 4 PRs in 6 years 2 months
railscomparisonrubyconsistent
gwu1/Data-Engineering-Challenge
Apr 2019 - Jan 2021
Take home assignment based on Demyst Python API and building a model
Contributions:1 push in 1 year 9 months
apipythontake-hometake-home-assignmentdata-engineering
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