Ting-yi Lee
Trading Operation Lead
Taipei, Taiwan
Summary
👤
Senior🎓
Top SchoolTing-yi Lee is a seasoned software and trading operations leader with a decade of experience building low-latency market data, execution, and production workflows for quantitative trading teams. Based in Taipei, he has led MFT production readiness, designed a centralized ClickHouse platform, and implemented executor systems and reconciliation pipelines that tightened feedback loops between traders and quant teams. Previously he modernized legacy data stacks, slashing data delivery latency from half a day to about an hour and migrating cron pipelines to Airflow to accelerate simulation turnaround. As a technical lead at Appier he drove Kubernetes-native migrations and AI training pipeline improvements that cut memory use by over 30% and sustained high-throughput recommendation services. He pairs hands-on engineering with cross-functional coordination—traders, quants, infra, and risk—to reduce time-to-production (notably an 80% cut for international strategies) and improve launch reliability. Practical, results-focused, and comfortable applying AI agents to automate operational workflows, he combines systems-level thinking with a trader-facing mindset.
10 years of coding experience
13 years of employment as a software developer
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at National Taiwan University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (21)
python10
data-science10
statistics10
machine-learning10
data-analysis10
charts9
scikit9
scikit-learn9
docker8
k8s8
helm8
kubernetes8
api3
messaging-api3
iterative3
Programming languages (5)
Github contributions (5)
zxcvbnius/k8s-30-day-sharing
Dec 2017 - Sep 2018
Contributions:40 commits, 354 pushes, 1 branch in 9 months
zxcvbnius/leetcode
Jun 2017 - Nov 2019
Contributions:213 pushes in 2 years 5 months
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