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Ching-Lin Wei

@ching-linwei

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A result-driven and detail-oriented Data Engineer optimizing large-scale data pipelines as well as API performance.

Taiwan

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What I'm looking for

I seek a hands-on data engineering or ML roles where I will build reliable, scalable, and efficient data pipelines as well as MLOps, while ensuring finest data quality and sound ML outputs.

I am a highly analytical Data Scientist with more than 5 years of professional experience across Insurance Fraud Prevention, Computer Vision, Financial Trading, Wireless Signal Detection, Smart Manufacturing, and Precision Marketing.

At Risksoft Technology, I managed 300+ data pipelines processing 4TB+ of daily financial data across five global markets. By optimizing job dependencies, restructuring pipelines, and implementing robust retry logic, alerting, and health checks, I cut job failures by 70%, improved data availability by 20%, and boosted efficiency by 90%.

During my work at Shin Kong Life Insurance, I built and containerized an API that applied Neo4j on kinship traces between customers for fraud detection, reducing 80% of time in risk assessment work. The API ingests data from an ETL I designed that transforms structured data in Greenplum to Neo4j graph data with highly working reliability.

As for Machine Learning experience in Taiwan Data Science Company, I developed real-time foot traffic detection model with 70%~90% accuracy utilizing wireless signal data stored in AWS Elasticsearch. It had been deployed for real-time COVID-19 prevention. In addition, I employed Gen AI with PyTorch to build the AI Robustness Tester, a project entrusted by National Applied Research Laboratories, aiming at testing robustness of object detection models.

In conclusion, I have a proven track record of delivering applicable, high-impact technical expertise across diverse domains. From optimizing global financial data pipelines to building and deploying ML systems for public health and fraud prevention, I consistently tackle tough business challenges by transforming complex data into reliable, innovative, and measurable decision-making solutions.

Experience

Work history, roles, and key accomplishments

Data Engineer

Risksoft Technology LTD.

Dec 2024 - Jul 2025 (7 months)

Maintained large-scale Jenkins data pipelines processing 4TB+ daily financial data across multiple markets and reduced job failures by 70% through dependency analysis, alerting, and infrastructure inspections.

Jenkins Python Prefect PostgreSQL Data Pipelines ETL API Integration Data Quality GCP Flask

Data Engineer

Shin Kong Life Insurance Co., Ltd.

May 2023 - Oct 2024 (1 year 5 months)

Developed and containerized FastAPI services and ETL pipelines from PostgreSQL to Neo4j,then applied Neo4j graph algorithms to cluster millions of customers for fraud detection, while scoped hardware requirements to support production deployments.

Flask API fastAPI Docker Neo4j PostgreSQL SQL ETL Data Modeling Performance Tuning Python Informatica Apache NiFi

Machine Learning Engineer

Taiwan Data Science Corporation

Jul 2022 - May 2023 (10 months)

Designed database schemas and data pipelines for an AI Robustness Tester and generated adversarial datasets with PyTorch and Adversarial Robustness Toolbox to evaluate object detection models. The project is entrusted by National Applied Research Laboratories

SQL Python PyTorch Onnx Database Design Data Pipelines Model Evaluation

Data Analyst

Teahouse Finance

Jan 2022 - Apr 2022 (3 months)

Scraped Uniswap V3 swap data and produced k-bar time series, then applying Bayesian optimization with Gaussian process regression on liquidity provision strategies with respect to fees, risk exposure, and P&L outcomes.

Python Web Scraping Time Series Data Wrangling Uniswap K Bars Analysis R Programming Optimization Machine Learning Gaussian Processes

Data Scientist

Taiwan Data Science Corporation

Jul 2019 - Dec 2021 (2 years 5 months)

Built real-time foot-traffic detection models on AWS SageMaker using wireless signal data and designed pipelines to ingest Taiwan stock market data into MS SQL, improving customer retention model accuracy to 80%.

SQL Server AWS Sagemaker Python Elasticsearch Web Scraping SQL Machine Learning Time Series

Data Engineer Intern

Global IT Experts, Inc.

Oct 2017 - May 2018 (7 months)

Assisted exploratory data analysis and visualizations on credit card datasets to support analytic research and reporting.

Data Visualization Python SQL Data Cleaning Reporting

Researcher

National University of Kaohsiung

Dec 2011 - Dec 2014 (3 years)

Analyzed longitudinal data on trading flows and foreign direct investment among China, Japan, and Korea and forecasted the impacts of China–Japan-South Korea Free Trade Agreement on export, import, exchange rates, and unemployment rates.

Research Data Analysis Statistical Methods R Programming Econometrics Time Series Analysis