Hi, I’m Manu Shi. I used to be an ACM contester in Donghua University from 2016 to 2018. I have experience about lots of areas like Front End(Vue & React), Back End(Spring Boot & Node.js), Application(Android), Machine Learning(pytorch, tensorflow…) and DevOps. Now I have a strong interest in distributed system and hope to use algorithm I learnt to make distributed system work more efficient.

Education

School	Date	Degree
Donghua University, Shanghai, China	Sep 2016-Jul 2020	B.E. in Software Engineering
University of Southern California, Los Angeles, U.S.A	Jan 2022-Dec 2023	M.S. in Computer Science

Internship

Shanghai Pedawise Intelligent Technology Co., Ltd. | Software Development Engineer Intern

2020.8-2020.10

Worked with a team to develop RESTful APIs for real-time webpages that displayed data analysis on process flows and product quality from client factories captured via assembly line sensors to optimize production.
Developed features to enable factories to self-query the quality of products 10,000 times per second using Spring Boot.
Increased efficiency of web crawling by 150% by upgrading the centralized Scrapy system to a distributed crawling system.
Analyzed data using factory formulas and saved aggregate data to tables in PostgreSQL.
Reduced SQL execution time by 40% by optimizing SQL query sentences using horizontal vertical scaling.

Shanghai Pudong Development Bank (SPDB) | Front End Engineer Intern

2021.3-2021.5

Co-developed a new version of the banking home page with a concise layout and custom features that enabled all 30MM users to easily access and navigate the SPDB application using React Native.
Created new features including a rank list of the trending stocks and a carousel to display a range of pictures.
Optimized the mobile application experience by implementing a resource package to enable users to view their appointment information, bills, and coupons offline.
Resolved 10+ memory leaks caused by React Native code as a member of the SPDB memory leak monitor project.
Improved the loading speed of H5 pages by 50% by leveraging the pre-renderer plugin.

ByteDance - Xigua Video | Android Development Intern

2021.7-2021.11

Led a project to improve the accessibility of the Xigua Video android application with Android accessibility APIs that received verification from the Ministry of Industry and Information Technology of China.
Cooperated with the UI, R&D, and QA teams and ByteDance’s Accessibility Association to define and set up accessibility development standards and create a new accessible UI.
Worked with the QA team to implement a new testing process for checking the accessibility of all the features before release with both automatic accessibility auditor and manual testing.
Implemented mandatory readable descriptions, a click event standard, and a focus standard that enables users to swipe from left to right to navigate from different elements like buttons or images.
Led the modification of 50+ pages of the Xigua Video application to improve the accessibility of older features.
Improved the loading speed of pictures by 15% and reduced memory usage by 20% by refactoring the banner selector of the personal home page within the application.
Redesigned a new account rebinding system to help users change to a new phone number using Java and Kotlin.
Introduced a new risk control system with the Data Analysis team that supported third-party rebinding and reduced accounts account hacks by 95%, false bans by 50%, and overall negative user feedback by 70%.

Award

Name of Award	Data	Level
Silver Award, The 2018 ACM-ICPC Asia Regional Contest Xuzhou Site	28/Oct/2018	International
Bronze Award, The 2018 China Collegiate Programming Contest, Qinhuangdao Site	27/Sep/2018	National
Silver Award, The 2018 ACM-ICPC China Shanghai Metropolitan Invitational Contest	21/Jul/2018	National
Silver Award, The 2018 Shanghai STEED Programming Contest	09/Jun/2018	Municipal
The First Prize, The “Yoozoo Cup” Shanghai University Program Design Invitational Competition & the 10th Program Design Competition of East China Normal University (Professional Group)	12/May/2018	Municipal
Bronze Award, The 2017 Shanghai STEED Programming Contest	09/Jul/2017	Municipal
Silver Award, The 2017 Shanghai STEED Programming Contest	03/Jun/2017	Municipal
The Third Prize, The “Yoozoo Cup” Shanghai University Program Design Invitational Competition & the 9th Program Design Competition of East China Normal University (Professional Group)	20/May/2017	Municipal
Gold Award, The 2018 ACM-ICPC Contest On Campus of Donghua University	09/Jun/2018	College-level
Silver Award, The 2017 ACM-ICPC Friendly Contest On Campus	29/Dec/2017	College-level
Gold Award, The 2017 ACM-ICPC Contest On Campus	03/Jun/2017	College-level

Project Experience

Application of Machine Learning in Computer Network(Online) | University of Chicago

Student Researcher; Advisor: Prof. Nick Feamster

Conducted the network traffic classification of DNS over HTTPS
Searched and studied a variety of papers to find the appropriate model
Used autoencoder to preprocess the data

Research on Chess Algorithms based on Factor Space | Donghua University

Thesis; Advisor: Prof: Hongjian Wang

Combined the theory of factor space with the threat sequence algorithm established by Victor Allis, and proposed a new tic-factor space based tic-tac-board algorithm.
Used the idea of dynamic programming to prove the correctness of the algorithm; designed two methods to compare the correctness of the algorithm in tic-tac-toe.
Found methods to greatly improve the accuracy of the algorithm from the perspectives of special case treatment and algorithm search depth.

Skill

Excellent with: Programming Language(C, C++, Java, Kotlin, Javascript), Data Structure, Algorithm, IDE: (IDEA, Codeblocks, VS code)

Proficient in: Programming Language(python, HTML, CSS, SQL, nodejs, Typescript), IDE: (Pycharm, sublime), Database: (MySQL, Oracle), FrameWork:(React Native, Vue, Spring Boot)

Experienced with: Programming Language(Go, Matlab), FrameWork: (Tensorflow, Pytorch), UML