Zi(Lisa) Li

Santa Cruz, CA ***** +1-979-***-**** adjhb6@r.postjobfree.com

EDUCATION

M.S . in Computer Science, GPA: 4.00/4.00 Sep 2019 - Mar 2021 University of California, Santa Cruz (UCSC), Santa Cruz, CA M.S. in Electrical and Computer Engineering, GPA: 86.54/100.00 Sep 2014 - Jun 2017 South China University of Technology (SCUT), Guangzhou, China B.Engr. in Electrical and Computer Engineering, GPA: 3.79/4.00 Sep 2010 - Jun 2014 Hebei University of Technology (HEBUT), Tianjin, China RELEVANT SKILLS

Language: Java, Python, JavaScript, C++, HTML, CSS Other: Servlet, JSP, Spring, Struts2, Hibernate, JUnit, Maven, Django, Node.js, Vue.js, Express.js, Bootstrap, MongoDB, MySQL, REST, Git, Docker, TensorFlow, Open3D WORK EXPERIENCE

University of Illinois, Chicago, IL Jun 2020 - Current SDE Intern (Python, Django, open3D) Mentors: Amanda Lee (UIC), Roberto Manduchi (UCSC), Peng Li (Roblox)

● Worked on an automated tool for bone classification and measurement

● Developed core algorithms that take anthropometric measurements of 3d human skeleton

● Implemented an web application for 3d human bones analysis UCSC, Santa Cruz, CA Apr 2020 - Current

Teaching Assistant

Futurewei Technologies Co., Ltd., Dongguan, China Jul 2017 - Sep 2018 Assistant Engineer (Java, Python)

● Worked as a full-stack web engineer to build internal tools for multiple groups in SCM Dept.

● Provided estimated best warehouse and distribution strategies based on product size, storage cost and delivery time, which reduced the set-up box delivery time by 57%

● Implemented a web application based on Java SSH framework, which calculates costs based on different product supply strategies, and reduced management decision-making process from 14 days to 5 days

● Built a RESTful web backend service that provides production-cycle-related data API using Struts2 and Hibernate to compare the production-cycle performance of different product lines

● Optimized planning strategy (frequent pattern) using the Apriori algorithm based on past order data (1M records) with two engineers from data team

PROJECTS

Distributed key-value store system (Python, Django, Docker) Sep 2020 - Dec 2020

● Built a distributed RESTful web server which is partition-tolerant, available, and causally consistent

● Implemented consistent hashing, Gossip and view-change algorithms

● Built Docker images and run instances in Docker network Quora Insincere Questions Classification (Python, TensorFlow) Oct 2019 - Dec 2019

● Built RNN network with LSTM to identify insincere quora questions, achieved the F1-score of 0.70

● Used pre-trained embeddings to help reduce training time and improve overall performance

● Explored Attention mechanism to achieve better performance for long questions (>100 words) Online Account Book (JavaScript) Apr 2019 - Sep 2019

● Built a simple online account book that has dynamic web pages in Bootstrap and Vue.js

● Developed RESTful APIs using Express.js framework and connected to MongoDB

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