# Bingbing Huang > Senior Software Engineer at Amplitude Location: San Francisco, California, United States Profile: https://flows.cv/bingbing Software engineer with a focus on scaling data collection and processing pipelines, and building interactive software systems. ## Work Experience ### Senior Software Engineer @ Amplitude Jan 2024 – Present | San Francisco Bay Area Developed large-scale interactive software applications to connect Amplitude data to internal, customer and partner systems using Java. Improved scale, performance and availability of data collection and real time data processing pipeline using Java. Designed and optimized core distributed components and services to move data between data warehouses and cloud storage, such as Snowflake, Databricks, BigQuery, S3 and GCS using Apache Kafka, Redis and AWS cloud infrastructure. Utilized Kubernetes, Amazon EC2, Terraform and Jenkins for software testing, continuous integration and continuous deployment. Worked with TypeScript, React and Redux to build user-friendly interfaces for Amplitude customers to interact with Amplitude products. Implemented Infrastructure as Code using Terraform to automate and manage scalable, resilient cloud environments, ensuring efficient deployment and fault-tolerant infrastructure across AWS and GCP. ### Software Engineer II @ Amplitude Jan 2023 – Jan 2024 | San Francisco, California, United States ### Backend Software Engineer Intern @ Amplitude Jan 2022 – Jan 2022 | San Francisco, California, United States ### Software Engineer II @ 98point6 Inc. Jan 2019 – Jan 2021 | Seattle, Washington, United States Led design and implementation of machine learning support systems using Python, Terraform with AWS cloud infrastructure including Amazon SageMaker and Amazon EC2 to Improve the experience for patients and physicians using 98point6’s on-demand text-based primary care App. Automated annotation workflows, developed shared Python libraries and integrated machine learning tools into a consistent framework using AWS Serverless Application Model. Collaborated with cross-functional teams to build machine learning operational infrastructure using Terraform and AWS Cloud Development Kit, applied modern best practices and made continual improvements in stability and performance. Designed and built software tools in Python for data analysis, reporting and visualization by combining Python data visualization libraries including Matplotlib and Seaborn, Jupyter Notebook, AWS CloudWatch, and Tableau to improve work efficiency of data scientists and product managers. Supported data science product feature experimentation with various machine learning libraries including Numpy, Pandas, TensorFlow, Scikit-learn and PyTorch by designing and building experimentation tools in Python using Flask with AWS Serverless Application Model and AWS SageMaker. ### Software Engineer @ 98point6 Inc. Jan 2018 – Jan 2019 | Seattle, Washington, United States ### Research Assistant at TCAT @ University of Washington Jan 2016 – Jan 2017 | Seattle, Washington, United States The Taskar Center for Accessible Technology (TCAT) at the University of Washington Department of Computer Science & Engineering develops and deploys technologies that increase independence and improve quality of life for individuals with motor and speech impairments. Developed an Android application used on wheelchairs to detect the bumpiness of the road. Collected data using Gyroscope and Accelerometer, evaluated surface integrity, and built an automated algorithm to classify bumps with data analysis for AccessMap annotations (https://www.accessmap.io/). Crowdsourced street-crossing data by displaying street intersections on a bounding box of Bing Aerial Imagery and allowed users to draw the crossing with Leaflet drawing functions. Created a storage system using Django default database for user input with GPS coordinates for data annotations to improve precision and accuracy of locations of street crossings in OpenStreetMap. During my employment with the research lab, I was engaged in two projects. Project: Continuous Surface Integrity Detector (CSID) The purpose of this mobile application was to detect surface aberrations on pedestrian walkways and sidewalks. I worked in Android Application Development, reading device sensor data of accelerometers and gyroscopes, designing algorithms for data cleaning and processing, communicating and integrating data summary with geographical information systems including OpenStreetMap. Project: Crowdsource AccessMap web application The purpose of this web application is to crowdsource accessibility information about pedestrian walkways. My work included building the web application architecture using JavaScript, Python and Django. Designed and implemented a user interface to display Bing Aerial Imagery, allow users to draw features into the imagery and collect the contributed information in a Django native database. ### Research Assistant at Steele Lab @ University of Washington Jan 2016 – Jan 2016 | Seattle, Washington, United States In Steele Lab, I joined AccessEngineering team. Built an Android mobile application to detect faces with Cascade Classifier and blur faces via changing RGB color model in existing videos or during recordings to support human motion studies. ### Software Engineer Intern @ 98point6 Inc. Jan 2017 – Jan 2017 | Seattle, Washington, United States 98point6 provides on-demand access to personalized and compassionate board-certified primary care via web and mobile applications. Utilized machine learning and natural language processing to automate encounters between physicians and patients using Scikit-learn and TensorFlow, and productionized this feature to web and mobile applications. Researched and developed conversational natural language systems to efficiently collect relevant medical information for physicians during patient encounters in Python using Flask and Jupyter Notebook. ## Education ### Master of Computer Science Rice University ### Bachelor of Science - BS in Computer Science University of Washington ## Contact & Social - LinkedIn: https://linkedin.com/in/hbingbing --- Source: https://flows.cv/bingbing JSON Resume: https://flows.cv/bingbing/resume.json Last updated: 2026-03-31