Meng-chi Tsai
Data Engineer
Taipei, Taiwan
Summary
👤
Senior🎓
Top SchoolMeng-chi Tsai is a data engineer and AI team lead with 11 years of experience building scalable data platforms and ML-driven products from Taipei. He has led GenAI tagging and recommendation systems for hundreds of B2B clients, combining LLMs, RAG, vector search, and classic IR techniques (BM25/LDA) to boost precision, CTR, and onboarding speed while keeping 99.95% SLOs. His work spans lakehouse design (Trino, Iceberg), high-performance PySpark + DuckDB pipelines, and resilient CI/CD on Kubernetes (ArgoCD, Kustomize), plus automated Airflow orchestration for hundreds of pipelines. Previously he architected distributed ingestion and transformation stacks that improved throughput by orders of magnitude and created production-ready ML features and explainable models for marketing use cases. He pairs hands-on backend and API engineering with product-aligned KPIs and team upskilling, regularly running knowledge-sharing sessions on prompt engineering and embedded models. Notably, he blends cutting-edge vector/LLM tooling with pragmatic infra optimizations to deliver measurable business impact across large client bases.
11 years of coding experience
6 years of employment as a software developer
Bachelor's degree Management Information Systems, Bachelor's degree Management Information Systems at National Taiwan University
Github Skills (22)
word2vec8
user-feedback7
python7
julia7
data-privacy5
gdpr5
push-notifications5
feature-flags5
dashboard4
hipaa4
ai4
mobile3
analytics3
web-analytics2
iot2
Programming languages (5)
Github contributions (5)
paristsai/jdata
Sep 2018 - Mar 2020
京東算法 - 高潜用户购买意向预测
Contributions:8 commits, 5 PRs, 8 pushes in 1 year 6 months
pythonjdata
paristsai/airflow-introduction
Dec 2016 - Dec 2016
Contributions:10 commits, 9 pushes, 1 branch in 3 days
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