Jinling Li Email and Phone Number

• Led the design and development of a native AWS application for learning content management, resulting in manual efforts reductions by providing a central content storage location and automating content development workflows.• Maintained a system built on Salesforce including troubleshooting and debugging production issues, developing new features and safely deprecating existing features.• Led the design and development of a backend service for a feedback solicitation web application built on AWS.• Integrated services to process and publish large-scale financial data to accounting ledgers and data warehouse.• Improved system reliability and availability by implementing monitoring and alerting systems, and implementing customized metric collection and reporting systems.• Actively participated in on-call rotations to provide 24/7 support, including troubleshooting and resolving customer issues as they arise. Conducted regular system maintenance and upgrades to ensure the system's security and stability.• Collaborated with project managers to clarify requirements, define software scopes and set project milestones.• Mentored and provided technical guidance, including design and code review feedbacks, to team members on best practices for building secure, scalable and reliable applications on AWS.• Participated and led in agile development methodologies, including sprint planning, stand-ups, and retrospectives.

• Wrote SQL queries and stored procedures to collect data for data visualization, data analysis and data warehouse ETL functions.• Set up on-premise Hadoop clusters with Hortonworks Data Platform (HDP). Deployed and managed Hadoop clusters in HDInsight on Azure.• Developed a web application with ASP.NET Web APIs and AngularJS framework for capacity planning, JIRA work progress management and data visualizations.

• Developed client-side web applications and RESTful API services in JavaScript (AngularJS), HTML5 and CSS• Worked closely with UI designers to implement responsive app design• Worked closely with back-end developers to integrate with JSON-format data from cloud server and Neo4j database • Visualized and analyzed data with D3.js• Created unit tests in Jasmine • Deployed end-to-end implementations in Docker• Packaged web programs into mobile applications (Android and iOS) with Apache Cordova

• Implemented facial expression recognition system (feature extraction and matching) using C++ and OpenCV• Developed deep learning model (LeNet CNN) with Python Theano package for logo recognitions• Improved image retrieval system with Locality-Sensitive-Hashing in C++/CLI wrapper and C#

• Developed algorithms to automatically interpret videos. Focused on the application of traffic scene understanding• Worked on robust statistics and latent Support Vector Machine in semi-supervised learning• Built 3D moving object detection and localization model with traffic surveillance videos

• CMPT 225 Data Structure: supervised lab sessions and held office hours to assist students with questions on Data Structure and coding in C++• MACM 101 Discrete Mathematics: led tutorials and graded assignments of 150 students

• Generated different formats of image and video files from raw satellite data with Python• Calibrated images between satellite and ground coordinates• Implemented Digital Video Broadcasting – Satellite simulation• Organized and populated data into PostgreSQL database

• Implemented Location Recognition (feature extraction and matching) using OpenCV• Prepared and pre-processed Motion Energy Images and Motion History Images for Human Activity Recognition