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- Tech lead in Consumer Financial Services teamResponsibilities: - System / database designing- Machine Learning / Data Engineering- Building database, data pipeline, and services infrastructure- Building machine learning algorithms to model / predict consumer behavior- Building consumer products that use data to influence user experiences- Infra stack: Hive, Kafka Messaging, Spark Streaming, etc.- Machine learning stack: Keras, Tensorflow, spaCy

Full stack software engineer- PayPal send money (cross-border) and Xoom integration- Tesla onboarding- Pay After Delivery (Germany)- Card servicing products (PayPal Debit card, Anywhere card, Credit Card)

Understanding and Supporting Curation Practices on GitHub (Thesis)- Collecting and analyzing a large data set (60 million log record) collected from GitHub Archive to understand curation practice.- Developing RepoHunter with Django and D3.js for supporting curation.- Developing GitHub Hourly, which automatically synthesizes information from GitHub and publishes it on Twitter: https://twitter.com/githubanalyticsMOOC - Sustained Participation- Founded by the COIL program at Penn State for designing and implementing technologies to enhance MOOC experiences. Partner with Teaching and Learning with Technology at Penn State, who is responsible for Penn State MOOCs.- Partner with MOOC instructor, Jack Matson, for investigating Chinese students' MOOC experiences.- Implemented Pro and Con debate and rebuttal with React.js for peer assessment in MOOC.- Implemented MOOC Peer/Judge for real-time pair programming in MOOC.- Created and Administrated an online study group for learning algorithms (now 126 participants).- Analyzing entire click stream and survey data (two MOOCs: CIC and Introduction to Art) to understand students' motivations and behaviors in participating in Penn State MOOCs.Design for Supporting Dialectical Learning- Appropriating Piazza as Dialectical Learning platform, which allows students to create high-quality pro and con paired arguments.- Investigating students' dialectical learning experiences with Piazza.- Developing two versions of CriticalThinker to enhance dialectical learning experiences. One built with Django+D3.js for prototyping. One built with Node.js+React.js for actual use.

Evernote Business Web Service Team

- Designing and engineering prototypes of informal workflow, built with Django+HighCharts, to enhance collaboration across multiple teams- Collecting, cleaning, analyzing large data set to model risk events for vulnerable customer sites.- Investigating and implementing expertise retrieval (collaborative filtering and social network analysis) for resolving customer issues.- Visualizing large data set on world map/U.S map.

- Analyzing transcripts for computer supported collaborating learning.- Applying machine learning techniques to train models to detect learners' on/off topic behavior and implementing an intelligent tutor to provide appropriate feedback.

Designing and implementing the mobile learning system of our campus (Master's thesis).

I've being working on the SMS module during the time working at Microsoft.