Meng D. Email & Phone Number

San Francisco, Ca, Us

• Full stack web engineer at Workplace and Efficiency Team. Worked on internal employee profile and Org net tool, which is built on JavaScript, React+Redux for client and NodeJS for server. • Migrated the client infrastructure from pure React to use React+Redux, which solves the component dependency and inefficient props problems by using global state, and improves the client experience a lot.• Optimized server communication with database, which significantly improves the system perf: homepage loading time -12%, client crash -5.5% and server CPU time -2.5%.• Experienced on React UI design and architecture implement, including tree and side-view by bootstrap, CSS3 and HTML5.• Manipulated Component lifecycle to modify state during rendering and fetch data before rendering. • Revised multiple reducers nested structure and optimized the way to store global state and utilizing as props between different components.• Implemented the user list pagination on React client, which improves user experience compared with server-based pagination.• Migrated the old unordered server request to RESTful API call, which covers DB CRUD operation in a better way.

Columbia, Maryland, Us

• Web development engineer in Web Experience team focusing on company website frontend. Worked on Orders which covers all order related business logic like tracking, history, stats, etc. • Added new functionality for real-time order tracking using HTML5, CSS3, JavaScript.• Redesigned diverse UI widgets at frontend using Bootstrap, to replace the old elements, such as forms groups, popovers for user to edit the invoice and warranty information.• Implemented recent order search module utilizing the Regular Expression and pattern to filter the data.

Zurich, Zurich, Ch

• Fulltime Research Engineering Intern working on ML based insurance portfolio analysis system, and focused on the system backend development which is built on Java.• Designed multiple sort algorithm to implement the merge-and-sort module to integrate data from each ml stream. • Implemented search function on client, so user can input the terms to filter the all valid policyholders in certain age range or job fields. • Implemented the real-time strategy ontology editing toolkit, in which user can changing/deleting current node or add new node to the ontology tree.• Establish initial associated model on the basis of Zurich insurance data, and evaluated model.• Utilize data mining to conduct risk assessment towards policyholder, and provide basis for the insurance company to make insurance expenses and claims policy. • Grasped key technologies used in classification and association analysis of insurance industry, such as Apriori algorithm and Weka tool.• Realized and applied typical classification algorithms in data mining such as integrated LDA, QDA, k-NNC, CART. • Programmed the data processing hub using Java. • Implemented communication components in both client and server using socket and thread.• Designed the system database which is scalable for schema configuration and can be partitioned for massive data.• Improved server system reliability by writing unit test and end-to-end test using JUnit and Mockito, e.g. unit test for file parse, save and decode controllers, and e2e test like media uploading, upload retry and reconnect.

Master Of Engineering - Meng, Industrial Engineering

Bachelor Of Engineering - Be, Computer Science