Qianru (Cherry) Zhu

• Worked on V-Portal, customer service web application integrated with Salesforce API and Single Sign-On.
• Collaborated closely with software, testing and UX teams to design and develop robust solutions to meet client requirements for functionality.
• Successfully deployed through Docker and AWS, ensuring its scalability, efficiency, and reliability.

• Led a team of 5 engineers for V-Spark, a speech analytics web application that models customer experience.
• Spearheaded the management of large-scale data processing, employing advanced techniques in parallel computing and dynamic flexiable machine addition to handle extensive audio and text files efficiently.
• Pioneered in the architectural redesign of the complex systems of V-Spark, ensuring data consistency across various databases and storage types, demonstrating strong leadership and strategic vision.
• Addressed challenges associated with scaling operations by innovating an in-flight queue system with an integrated timeout checking mechanism. This initiative significantly reduced the risk of machine crashes and ensured uninterrupted transcription of user-submitted audio files, marking a substantial improvement over traditional queuing methods.

• Apply ETL on 1TB raw Twitter data
• Store the filtered data into both MYSQL and HBase backend
• Support a web service for Twitter data analysis which can handle throughput of 20,000 with limited budget
• Ranked top 5 among 100 teams

• Developed machine learning models to predict emerging researchers via feature engineering for network features, including PageRank, HITS, and index features such as TF-IDF and BM25

• Developed algorithms to predict user influence and hot topics from social network graphs and information transferring models.
• Built machine learning infrastructure for user data analyses and asset prediction

Designed and developed an Android Application that

• Collects user data though the sensors of the mobile phone, like speed and location
• Transmits this data to a server, or stores it locally if it can’t connect
• Users can display and download data from the server using different queries
• Helps the user check communication records