Ken Huang
Machine Learning Engineer at 苹果公司
Singapore
Summary
👤
Senior🎓
Top SchoolKen Huang is a Machine Learning Engineer based in Singapore with 8 years of experience applying ML, NLP and data engineering to production systems at scale, currently building OCR/NLP solutions at 苹果公司. He combines a strong quantitative foundation (BSc in Quantitative Economics, MSc in Business Analytics) with hands-on experience across fintech, energy analytics and insurance—shipping data warehouses, ETL pipelines, forecasting models and visualization products. Past projects include beating a market baseline for French power consumption forecasting, accelerating geocoding 30x with multithreading and deploying ensemble models that achieved 83% out-of-sample accuracy for insurance renewal prediction. Comfortable across Python, Postgres, Django and cloud/production tooling, he bridges data science and engineering to move prototypes into reliable services. A pragmatic problem-solver, he often pairs domain knowledge (European power systems, motor-accident patterns) with engineering to deliver measurable business impact.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Quantitative Economics, Bachelor of Science - BS, Quantitative Economics at Shanghai University of Finance and EconomicsMaster of Science, Business Analytics, Master of Science, Business Analytics at National University of Singapore
Chinese, Chinese, English
Stackoverflow
11reputation
206reached
0answers
2questions
Github Skills (11)
network-graph9
sentiment8
sentiment-analysis8
graph7
nlp7
router6
react-router6
javascript6
webpack6
natural-language-processing6
react6
Programming languages (2)
Github contributions (5)
hzjken/multimodal-transportation-optimization
Sep 2018 - Feb 2020
Contributions:44 commits, 37 pushes, 1 branch in 1 year 5 months
hzjken/character-network
Oct 2018 - Apr 2019
A project on using network graph, NLP techniques and sentiment analysis to analyse the relationships among characters in a novel. The project takes the novel Harry Potter as an example and works.
Contributions:52 commits, 2 PRs, 50 pushes in 5 months
nlptakestechniquespottersentiment
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