# Chunyi Lyu > Senior Software Engineer at Airbnb Location: San Francisco Bay Area, United States Profile: https://flows.cv/chunyi Enjoy coding ## Work Experience ### Senior Software Engineer @ Airbnb Jan 2021 – Present | San Francisco Bay Area - Architected and Implemented Experiences and Services Host Calendar Platform: Designed and built the unified calendar experience for Airbnb's two key business lines—Experiences and Services—enabling hosts to seamlessly manage availability across multiple listing types with permission checks and multi-listing calendar overview, serving over 27 million calendar events. - Designed and Delivered Extended Availability Window Feature End-to-End: Led full end-to-end design and implementation of the Extended Availability Window feature enabling hosts to manage booking windows beyond the standard time limit, coordinating development across 7+ services with large-scale backfill operations, impacting 5.7 million listings and driving a 1.03% increase in Airbnb GBV. - Developed and Constructed the Host Smart Pricing ML Infrastructure: Engineered the online scoring infrastructure for Host Smart Pricing, delivering real-time nightly price recommendations to a user base exceeding 9 million hosts, consolidating legacy models into a unified TensorFlow architecture while simplifying the serving stack and data pipelines. Employed Java, Python, Scala, and TensorFlow for the implementation. - Engineered and Implemented Feature Data Pipelines for ML Platform: Orchestrated and executed data pipelines in Airflow to enhance the feature set of the Airbnb ML platform, building capabilities for managing cleaning fee analysis, tracking inflation rate adjustments, processing geo-based event data, and supporting pricing model training with reliable feature delivery. Employed Python, Airflow, Spark, and SQL for the implementation. - Developed End-to-End In-House Feature Analysis Tool: Designed and implemented a comprehensive feature analysis tool for Airbnb catering to all data tables across the organization. ### Software Engineer II in Hadoop team @ Uber Jan 2019 – Jan 2021 | Palo Alto, California, United States - Designed and Executed the Uber Hadoop Resource Management System: Crafted and executed the Uber Hadoop resource management system comprehensively, leveraging Java, React, and GRPC. This extensive project involved gathering user inputs, architecting both the user interface and backend, development, presentation, thorough bug testing, user manual creation, and post-launch maintenance. The system effectively allocates computing resources throughout the organization, streamlining operations, and optimizing resource utilization. - Engineered the Yarn Resource Monitor Daemon: Devised the Yarn Resource Monitor Daemon, a pivotal component that substantially enhanced Yarn utilization through more efficient resource management at the host level. This optimization translated to improved resource allocation, ultimately resulting in heightened system performance and cost-effectiveness. - Enhanced Security for Uber's On-Premise Hadoop Yarn Clusters: Implemented security measures to safeguard Uber's on-premise Hadoop Yarn clusters, ensuring data security and compliance with industry standards. ### Frontend Software Engineer in Fintel Team @ Uber Jan 2018 – Jan 2019 | Palo Alto, California - Constructed Uber's In-House Planning Platform's Frontend: Developed Uber's in-house planning platform's frontend from the ground up using React and Redux. I was responsible for the entire project lifecycle, including design, development, rigorous testing, and final delivery, providing continuous support. This innovative platform revolutionized planning processes, enhancing efficiency and informed decision-making. - Using Nodejs, redux to built the Metric-Insights platform to help finance users understand how spending affects downstream metrics. - Using Nodejs, redux to built the User-Insights platform to visualize the customer value. ### Data Engineer / Internship @ Kneron Jan 2018 – Jan 2018 Designed a well-received model concerning a food dataset (25 categories, 40K items) with bounding box from scratch, leading to a decrease in human workload within a fast-paced, high-stress work environment. Generated custom CNN model to detect complex hand gestures reliably, delivering loss of 0.4 with milliseconds inference time, exceeding expected performance goals by 60%. ### IOS Developer Intern @ Dermala Inc. Jan 2017 – Jan 2017 | Greater San Diego Area Championed an IOS application based on React Native, taking pictures and adding comments to track skin acne while integrating multiple analytic techniques to ensure application organization and usability. Built custom web application based on Flask to monitor backend status and manipulate data, supporting the uncovering and integration of various insights to improve app efficiencies. Guided flawless integration of Google Cloud API to store pictures and reduce related operational costs. ### Data Analyst @ Kaggle Jan 2017 – Jan 2017 | United States Used python to deal with 20000 house information and remove outliers by k-means. Used XGBoost to select feature and XGBoost to regression. And rank to top 15% in Kaggle. Used latitude and longitude to detect wrong data point. ### Teaching Assistant @ University of California San Diego Jan 2016 – Jan 2017 | United States Tutor calculus. ### Software Tester/Internship @ Aspiring Minds Jan 2016 – Jan 2016 | Beijing City, China - Tested up to 5 mobile and web applications in a high-stress workplace, analyzing and bug reporting to maintain adherence to all related corporate policies and procedures. - Chosen to assist customers to build excellent API-based backend; wrote detailed API document to drive future platform development and guarantee scalability. ### Software Developer/Internship @ Beijing Highlight Inc Jan 2015 – Jan 2015 | Beijing City, China - Developed unique software based on LabVIEW to analyze and visualize waveforms collected from optical fiber. - Enhanced software compatibility through rigorous troubleshooting and improved UI using user feedback reviews. ### Software Development Engineer Intern @ ZTE Corporation Jan 2015 – Jan 2015 | China Developed one-of-a-kind module to control a vast array of lights and sound through the expert use of Arduino. ### Android Development Intern @ Beijing Siruida Inc Jan 2015 – Jan 2015 | China - Authored an Android application based on Java, reciting vocabulary and assisting with a real-time online contest; received commendations for attention to detail and superlative work ethic. - Built expansive database to store 10K+ vocabularies and pronunciations using SQLite, in addition to facilitating multiple process improvements that significantly reduced database search times. - Conceived algorithm of reciting vocabularies based on Ebbinghaus Forgetting Curve, and sought as a subject matter expert for related areas of knowledge. ### Android Development Intern @ Beijing Univ of Posts and Telecommunications Jan 2015 – Jan 2015 | China - Designed and implemented an Android application, which includes primary function of the Android market. - Built a database to store more than 3000 application’s APKs, downloading URLs, descriptions, and icons using SQLite. - Implemented an algorithm to recommend the most traffic saving and popular applications based on Portfolio theory which saves 40M data traffic per day on average. Built server based on Django to communicate with the application. ## Education ### Master's degree in Computational Science UC San Diego Jan 2016 – Jan 2018 ### Bachelor's degree in Computer Science Beijing University of Posts and Telecommunications Jan 2012 – Jan 2016 ### Bachelor's degree in Computer Science Queen Mary University of London Jan 2012 – Jan 2016 ## Contact & Social - LinkedIn: https://linkedin.com/in/daphne-lyu --- Source: https://flows.cv/chunyi JSON Resume: https://flows.cv/chunyi/resume.json Last updated: 2026-03-22