Peter Gan
Data Engineer
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolPeter Gan is a data engineer with 8 years’ experience applying deep learning and ML-driven solutions to real-world data problems, currently designing AWS-based data pipelines and preprocessing workflows at Appen. He has built end-to-end systems using Lambda, SageMaker, BatchTransform, Docker and Redshift, and won Appen’s 2023 Impact Award for proactive problem-solving. His background spans NLP transliteration projects, a deployed deep-learning sales-insight model for a major fashion client, and full-stack product delivery from student projects to production releases. Trained in AI and deep learning at UNSW and comfortable collaborating across linguists, business leads and global clients, he blends research-led rigor with pragmatic engineering. Born to work with GANs, he brings a curiosity for generative models alongside a strong track record of turning complex, messy data into production-ready assets.
8 years of coding experience
1 year of employment as a software developer
ASEAN Scholarship Holder, Mathematics, Physics, Chemistry, English, ASEAN Scholarship Holder, Mathematics, Physics, Chemistry, English at Nanyang Junior CollegeASEAN Scholarship Holder, ASEAN Scholarship Holder at Chung Cheng High School (Main)UNSW Sydney
Chinese
Github Skills (18)
timetable9
mongodb8
drag8
puppeteer8
disable7
react7
python7
grpc6
nodejs6
greasemonkey6
drag-and-drop6
typescript6
userscripts6
tampermonkey5
deep-learning5
Programming languages (3)
Github contributions (5)
PeterGanZW/cs2521-Assignment2
May 2018 - Oct 2020
Contributions:27 commits, 1 push in 2 years 4 months
PeterGanZW/PsyCLIP
Jul 2023 - Jul 2024
Contributions:2 pushes, 1 branch in 1 year
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