# Chenlu Sun > Software Engineer at Google Location: San Francisco Bay Area, United States Profile: https://flows.cv/chenlusun M.S. in Quantitative Finance ## Work Experience ### Software Engineer @ Google Jan 2021 – Present | Mountain View, California, United States ### Machine Learning Engineer @ Apple Jan 2020 – Jan 2021 | San Francisco Bay Area • Worked on preprocessing training data for Fast Text and Doc2Vec model including parsing HTML, flatten lists, removing stop words, stemming and tokenization • Analyzed feedbacks on Article Highlight model, provided visualized data summarization for tuning model • Built debugging tool for Article Highlight project to improve algorithm performance • Worked on training, deployment, knowledge transfer documentation of Article Highlight model • Worked on developing Doc2Vec, MLP and random forest classifier for Quick Reply project ### Data Scientist @ Cashforce Jan 2018 – Jan 2019 | Greater New York City Area • Time series analysis mock-up in Python using statistics library for forecasting on cash flows segments • Carried out validation on massive data in order to provide clients with good quality cash reports • Coordinated with Development Team, analyzed on bugs and improved the existing code for the application • Set up cash forecasting logic depending on historic payment rolls • Configured and compiled customization for new client’s application in QlikView for ETL process from ERP system or bank statements for visualization and KPI purposes ### Quantitative Research Intern @ Asset Management Jan 2018 – Jan 2018 | Shanghai City, China • Built program solely for Event Study, which checks and analyze the significance of different events’ influence on stock return • Extracted data from SQL Server, computed statistical summary, visualized data through Matplotlib • Modeled cumulative abnormal return (CAR) of classified stocks over benchmark within a 3 months’ time window through Numpy, Pandas, Datetime packages implemented in Python using OOP design • Developed program that auto-generated daily stock investment filter based on events (news, announcements etc.) • Detected positive and negative influence events out of 17 events, provided outline for reference and future updates ### Investment Analyst Internship @ Alpha Square Group Jan 2017 – Jan 2017 | Greater New York City Area • Worked closely with senior analysts, performed feasibility studies, financial analysis and due diligence • Conducted top-down analysis by comparing real estate markets in the West, North East and South East region of the US based on population, industrial structure, education and etc. The assembled data was then categorized into an Excel spreadsheet for investment evaluation ### Quantitative Investment Strategy Developer @ Insanity Trading Jan 2016 – Jan 2016 | Beijing City, China • Worked with senior traders using back testing ETF trading strategies with historical data, detected effective feature (return driver factor) that greatly improved prediction accuracy • Collected features from academic paper and technical indicators such as MACD, RSI, performed prediction on minutely Commodity Future return by using Time Series Analysis and TA-Lib package in Python • Generated trading strategy based on features for commodity futures including natural resources, using machine learning methods such as regression, classification and decision trees implemented in Python ### Research Department Internship @ Guotai Junan Securities Co., Ltd Jan 2016 – Jan 2016 | Beijing City, China • Studied sell side research reports and wrote a report about Southwest and Southeast Regional cities’ real estate development potential, illustrated by visualized data analysis through Excel and Wind . • Carried out price evaluation of real estate stocks with reevaluated net assets value model using data extracted from company annual reports . • Reorganized official accounts on WeChat platform and updated data on stock market and company announcement using Wind; gave a presentation on real estate research framework . ## Education ### Master of Science - MS in Quantitative Finance Fordham University ### Bachelor of Science - BS in Economics Peking University ### Bachelor of Engineering - BE in City/Urban, Community and Regional Planning Peking University ## Contact & Social - LinkedIn: https://linkedin.com/in/chenlusun-cs --- Source: https://flows.cv/chenlusun JSON Resume: https://flows.cv/chenlusun/resume.json Last updated: 2026-03-29