Emiliano Zhu

Emiliano Zhu

E-mail: zhu.em@northeastern.edu | Mobile: (206) 295-4794 | | Address: 312 2nd Ave W Apt 708, Seattle, WA 98119 LinkedIn: linkedin.com/in/emiliano-zhenfang-zhu-587416184 | Github: https://github.com/emilianozzf Available: Jan-Dec 2021

EDUCATION
Northeastern University (NEU) | Seattle, WA September 2019 – Present Master of Science in Computer Science | GPA: 4.0 / 4.0 Expected graduation: Mar. 2022 Related Courses: Database Management, Web Development, Computer System, Object-Oriented

Design, Discrete Math & Data Structure, Algorithm, Introduction to Computer Science

Sichuan University (SCU) | Chengdu, China September 2014 – June 2019 Bachelor of Engineering in Chemical Engineering | GPA: 3.6 / 4.0 | Standing: 2/57
Activities:

TECHNICAL SKILLS Programming Languages: Frameworks & Databases: Tools:

ACADEMIC PROJECTS
Raised ¥ 50,000 for carrying out a 2017 Sichuan University Sports Meeting

Java, JavaScript, Python, C/C++, HTML, CSS, MATLAB
NodeJS, ExpressJS, React, SQL (Oracle, MySQL), NoSQL (MongoDB)
IntelliJ, Visual Studio, Git, Eclipse, Sublime Text, Postman, Virtual Box, Processing
Covid-19 Tracking Website | [Github] | Group Project | Seattle, WA June 2020 – Present A Website for tracking Covid-19 related data, reading related news, and posting discussion | MERN Stack, Heroku

􏰀  Developed RESTful APIs of Discussion Forum based with Node and Express to implement CRUD of entities

derived from MongoDB database by Mongoose, and provided full authentication using Passport.jwt
􏰀  Implemented Signup/Login and Posts/Comments user interfaces with React, Redux, and Thunk
􏰀  Gathered and presented Covid-19 related data in various forms with Web Crawling and Data Visualization
􏰀  Deployed the project on Heroku

Web Mapping Application – Bear Map | [Github] | Online Course Project | Seattle, WA May – June 2020 A Web mapping application for location display and optimal route planning | Java, Trie, K-d Tree, A* Algorithm, Heroku
􏰀  Implemented autocomplete search bar with Trie, and pinned the searched locations on the map component
􏰀  Consumed query box from front end, and rendered images of the appropriate resolution (location display)
􏰀  Enabled shortest path search between any pair of positions on the map with K-d Tree and A* algorithm, and

generated the corresponding sequence of navigation instructions (route planning)
􏰀  Deployed the project on Heroku

Movie Search Engine | [Github] | NEU Course Project | Seattle, WA February – May 2020 A multiprocessing movie search engine with a file crawler, a file processor, an indexer, and a query processor | C, Linux, Valgrind, Emacs, Mutex
􏰀  Crawled a movie file system, processed about 50 files to extract significant words or concepts, indexed >5 million movies, and boosted performance by multithreading with mutex
􏰀  Launched the search engine as a server using socket programming with TCP/IP protocol suites that concurrently serves multiple clients

Othello Game | [Github] | NEU Course Project | Seattle, WA October – November 2019 A strategy board game for two players (human vs. computer AI), played on an 8×8 board | Python, Processing, AI
􏰀  Developed the Othello Game using Processing and designed corresponding game algorithms in Python
􏰀  Managed interactions and scores management by asynchronous processing and alert dialog
􏰀  Trained an AI computer opponent by searching the game tree with shortest paths algorithm and alpha-beta pruning, gaining 83% winning probability