Kayyen Wong
Machine Learning Engineer at Reddit, Inc.
United Kingdom
Summary
👤
Senior🎓
Top SchoolKayyen Wong is a Machine Learning Engineer with nine years of experience and six years focused specifically on ML, currently building recommender systems and scalable ML pipelines at Reddit after leading personalization and discovery efforts at Tumblr. They combine production-grade MLOps and streaming/offline data engineering (Spark, Kafka, Flink, Airflow, Kubernetes) with research rigor—first-author publications at ACL and SIGIR and a SIGIR paper releasing the Wiki-Reliability dataset. Kayyen has a track record of measurable impact on engagement and retention (e.g., +27% reduced search exhausts, +50% community joins) and excels at rapid experimentation and model iteration for real-time user-facing systems. Comfortable across Python, Scala, Java and large data ecosystems, they also bring open-source and nonprofit experience from Wikimedia and internet-censorship research, reflecting a strong drive to apply tech for social good. UK Global Talent Visa holder, open to remote or UK roles, and a self-starter who’s been coding since age 14.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Monash University
Malay, English
Github Skills (43)
pytorch10
python10
machine-learning10
deep-learning10
natural-language-processing10
transformer10
csv10
speech-recognition10
nlp10
testing9
lists9
transformers9
proxy9
language-model9
bert9
Programming languages (4)
Github contributions (5)
kay-wong/offshoreleaks-viz
Aug 2018 - Nov 2018
Geospatial-Network Visualisation of ICIJ Paradise Papers data
Contributions:17 commits, 25 pushes, 4 branches in 3 months
geospatialvisualisationnetwork-visualisationparadiseparadise-papers
kay-wong/Wiki-Reliability
Mar 2021 - Jul 2021
Contributions:9 commits, 8 pushes, 1 branch in 4 months
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