May 2022 – Jul 2025 · 3 yrs 2 mos · Redmond, Washington, United States

Jun 2021 – Sep 2021 · 3 mos · San Jose, California, United States

Mar 2021 – Jun 2021 · 3 mos · Mountain View, California, United States

Jun 2020 – Sep 2020 · 3 mos

• Extracted useful popularity data for designated cities from SafeGraph’s 90 GB data lake using pandas in Python.
• Developed a pipelined program in Python to track and analyze popularity changes at over 5,000 Points-of-Interest under different categories to monitor changes in people’s activity patterns during the COVID-19 pandemic.
• Performed time series analysis of popularity changes in major cities in relation to government interventions.
• Wrote an academic paper that proposes a novel method to identify and isolate asymptomatic cases to decrease the novel coronavirus spread.

Jun 2019 – Aug 2019 · 2 mos · Greater Chicago Area

• Utilized AWS S3, AWS Glue, and Amazon Athena to manage the company’s data lake efficiently and adopted Apache Parquet storage format to speed up the querying process.
• Created a Natural Language Generation program in Cloud and constructed 108 distinctive templates to generate football game narratives that cover 6 major data points in a game using Wordsmith.
• Built an AWS Lambda program in Python that calls Wordsmith API to automatically generate NFL football game narratives in real-time for the company’s novel sports betting product.

Jan 2019 – Dec 2019 · 11 mos · Omaha Metropolitan Area

• Remodeled and redesigned 80 functions from the company’s old system written in COBOL and C++ that predicts the operation cost and profit for train cars to improve runtime performance using Java.
• Implemented unit tests and evaluated prediction results with historical data to ensure program correctness.
• Debugged the Flat/Container Screen in JavaScript to improve user experience.

Jul 2018 – Aug 2018 · 1 mo · Shanghai, China

• Conducted in-depth research on prospective business partners and regulatory frameworks to support the planning and execution of a joint venture initiative.
• Translated business documents across Japanese, Chinese, and English, ensuring linguistic accuracy and consistency in sensitive corporate materials.
• Managed internal databases and compiled credential reports to support strategic decision-making and compliance tracking.
• Prepared detailed briefing materials and formal documentation for high-level internal and external meetings; maintained comprehensive meeting records.
• Liaised with the Tokyo headquarters to co-organize a company open-day event for employees’ families, contributing to cross-office collaboration and employee engagement.

May 2018 – Jul 2018 · 2 mos · Hangzhou-Shaoxing Metropolitan Area

• Implemented a log file management program in C++ to support search, move, append, delete, sort, clear, and print log entries or user excerpts, and help company employees to manage workload.
• Built a web crawler in Python to extract more than 600 entries of information and process the data by removing duplicates and categorizing.
• Wrote informative articles about recent news in AI and Cybersecurity; my articles were published in the company newsletter.

Sep 2017 – Apr 2018 · 7 mos · Detroit Metropolitan Area

• Implemented three programs in Python to model how algorithms used by Google, Academia, and Reddit rank the relevancy of search results.
• Evaluated data for over 50 test cases, debugged test failures, and performed regression testing.
• Utilized R to observe the relationship between quality and rank for each model.
• Wrote user suggestions about the intrinsic bias of each ranking system using research results.