# Cody Zeng > Software Engineer at DoorDash Location: San Francisco, California, United States Profile: https://flows.cv/codyzeng ## Work Experience ### Software Engineer @ DoorDash Jan 2019 – Present | San Francisco, California, United States Ordering Experience Team Search and Relevance Team ### Software Development Engineer Intern @ Amazon Jan 2018 – Jan 2018 | Greater New York City Area ### Project Manager @ Berkeley CodeBase Jan 2018 – Jan 2018 ### Software Developer @ Berkeley CodeBase Jan 2017 – Jan 2017 CodeBase is Berkeley’s foremost software consulting group, tackling software challenges for high-growth startups in the Bay Area. Worked with a team to develop a data analytics web platform for Riffyn. Riffyn is a startup in Oakland that creates collaborative software for biotech and chemical industries, allowing scientists to upload their experiment data, and easily format/categorize it in order to do statistical analysis on this data with external programs such as JMP. However, JMP is really expensive and hard for users to use (too many buttons and functionalities). Our project created a web app that would allow clients to do this statistical analysis for free, instead of having to purchase an overly expensive license for JMP (1000s of dollars). Currently, the web app has multivariate linear regression implemented, and users can perform both numerical and categorical linear regression on any data they choose. It also does lasso regression, where the app automatically runs linear regression on all possible variable combinations, and only displays results for the most significant ones. Our web app also produces a report of the regression that the user can save a PDF, and has interactive graphs created using plot.ly. ### Software Development Engineer Intern @ Amazon Jan 2017 – Jan 2017 | Greater Seattle Area SDE intern for Personalization organization, focusing on AmazonFresh • Worked on identifying and predicting trending products on AmazonFresh using over two years of purchase data • Used Python to detect trending items and Scala/Spark machine learning to predict future purchase numbers • Analyzed seasonal and holiday items that trend at specific times, and detected viral items with recent purchase spikes • Integrated code into production (Amazon’s Recommendation Services) and created new widgets for Amazon pages • Widgets will actually be tested on site pages via a/b testing and pipeline automated to run daily on AWS EMR clusters ### Immersive Film Group Developer @ Virtual Reality at Berkeley Jan 2016 – Jan 2016 | UC Berkeley • Researching benefits and limitations of 360° film • Aiming to produce 360° content and be able to analyze it for important frames within a 360 scene • Network with companies to obtain advice for 360° film techniques, equipment, and applications ### Software Engineer Intern @ Hewlett Packard Enterprise Jan 2016 – Jan 2016 | Sunnyvale • Developed next generation parser tool to facilitate the parsing of logfiles into a format usable by enterprise security management applications • Worked extensively with Javascript, Node.js, React, and Electron • Aided in developing an executable for fast customer usage • Implemented back end logic for logfile line testing and regex capture group extraction • Wrote front end logic for data validation, context-sensitive help, and import/export pages • Won People’s Choice Award at HPE intern fair ### High School Research Intern - Cui Lab @ Stanford University Department of Chemistry Jan 2014 – Jan 2014 | Stanford, CA Studied the effects of two important proteins, ERK (Extracellular signal-regulated kinase) and AKT (Protein Kinase B), on neurons and their health. Also observed the effects of microscopic nanopillars on neurite orientation. ### Private Tutor @ Tutor Jan 2013 – Jan 2014 Helped tutor a small group of 5 students to help prepare for the USA Biology Olympiad. Succeeded, as all 5 students placed as semifinalists in the 2014 Olympiad (Top 5% in US). ### High School Research Intern - Cui Lab @ Stanford University Department of Chemistry Jan 2013 – Jan 2013 | Stanford, CA Studied the effects of microscopic nanopillars on neuron differentiation and premature growth. Altered height, width, and density of nanopillars and observed subsequent effects on growth. Used MATLAB to analyze and group data, as well as ImageJ, to analyze pictures ## Education ### Bachelor’s Degree in EECS UC Berkeley College of Engineering Jan 2015 – Jan 2018 ### School of Informatics The University of Edinburgh Jan 2017 – Jan 2017 ### High School Dougherty Valley High School Jan 2011 – Jan 2015 ## Contact & Social - LinkedIn: https://linkedin.com/in/codyzeng --- Source: https://flows.cv/codyzeng JSON Resume: https://flows.cv/codyzeng/resume.json Last updated: 2026-03-22