About
My name is Xinran Li, and I am current master student in Information Technology at Rutgers University, and I acquired my Bachelor of Science Degree in Geo-physics at the University of Washington. I would be graduating in the upcoming December 2020, and I would love to seek a position in full-time Software Development Engineer.
![](assets/img/profile-img.jpg)
Looking for Software Developer & Full statck Developer
- Birthday: 7 March 1995
- Website: www.xinranli37.com
- Phone: +206 369 3681
- City: New York / Seattle
- Age: 25
- Degree: Master in progress
- Email: xinran.li@rutgers.edu
- Alternative: lix56@uw.edu
brief introduction, coming soon
Skills
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Education & Experience
Education
Master of Information Technology
Aug. 2019 - Dec. 2020
Rutgers University, New Brunswick & Newark, NJ
Relevant coursework:
Algorithm & Data Structures, Software Development with C++, Neural Network & Deep Learning, Web Development with JavaScript, Software Engineering of Web Applications, Data Management, Data Mining, Information System, Linear Regression, Probability, Financial Time Series with R
Bachelor of Science of Geophysics Analytics
Sept. 2014 - June. 2019
University of Washington, Seattle, WA
Master Skills: Google Earth, ArcGIS, Matlab & Python application in EarthQuake Analytics, Geophysics
Professional Experience
SOFTWARE ENGINEER SUMMER INTERN
July. 2019 – Aug. 2019
GF Securities Co., Ltd., Guangzhou, CHN
- Constructed a mutual fund trader information management system using Java, Spring Boot and deployed using Docker. Replaced the old system and reduced the average record querying time by 5 ms
- Implemented features including user profile / trading record management, authenticating, tagging, searching and user feedback
- Built the client frontend with 8 interfaces using Thymeleaf, Bootstrap, jQuery, and CSS
- Developed the backend using Hibernate, ElasticSearch and JPA with Spring Boot, and associated with a MySQL database
- Secured backend endpoints using ROLE based security with Spring Security
Projects
Projects
Airport Pickup App
March. 2019 – June. 2019
- Built an Android App for Chinese college students airport pickup services on Android Studio and released in the college network
- Implemented features including passengers’ arrival time registration, riders & drivers matching and user profile management. Stored the data in AWS RDS MySQL
- Implemented rider activities, e.g. request and cancel a ride and provided rider’s geographical location using Google Map API
- Built a responsive rider interface which reflects when drivers accept the ride and report the estimated pickup time
- Created JUnit test suites for the app
Web Portfolio
July. 2020 – Aug. 2020
- Hosted a static website with HTML/CSS on the Amazon S3 with custom domain registered with Route 53
- Uploaded website content on the Amazon S3 bucket, and configured bucket to enable website hosting, and set permission
Social Media Website
Mar. 2020 – June. 2020
Rutgers University, New Brunswick, NJ
- Created an Instagram Clone website in a group project, and helped group members to learn using Python to code out the application as a team leader
- Used Django as a backend for the websites, and implemented a full Models-Views-Templates structure for the website and deployed to Heroku
- Developed an interactive webpage (HTML/JavaScript) for users to sign up, log in, post blogs, delete blogs, follow and unfollow, likes as well as comments and styled the websites by applying Bootstrap
Melanoma-detection with Deep Learning
Jan. 2020 – Mar. 2020
Rutgers University, New Brunswick, NJ
- Classified Melanoma types from skin lesion images by using Neural Networks.
- Read data into the local system by using Kaggle API
- Models built with the use of Convolutional Neural Network, and evaluated by a pretrained model with a custom activation layer added on
Sea Level Rise & The Risk of the European Low Land Areas Research (ArcGIS, Google Earth)
Jan. 2019 – Mar. 2019
University of Washington, Seattle, WA
- A thesis research mainly focuses on the major climate issue (sea level rise); utilized ArcGIS, Google Earth, Python and MATLAB to analyze the sea level rising speed and relative altitude of lowland areas such as Netherlands, Denmark, etc.
- Extracted data from Kaggle API and store the data to MySQL
- Calculated the estimated sink period and inferred the estimated economics loss by GDP and population densities
Contact
Location:
605 W 42nd St Apt 61R, New York, NY 10036
2201 4th Ave Apt 512, Seattle, WA 98121
Email:
xinran.li@rutgers.edu
lix56@uw.edu
Call:
+1 206-369-3681