Jianing Wang Email and Phone Number

Global Market Division - Asset Liability Management department - XVA deskDigitalized the XVA management process with modern data science technology.- Built Python web application to visualize BCVA MTM, CVA premium, and overlay(hedging) portfolio PnL- Immigrated daily trading book data to the department database- Generated PnL explanation with Greeks and underlying asset movement- Fetching real-time market data through Bloomberg API

Participated in the development of a geochemical academic database1. Constructed automatic CI&CD workflow with GitHub action2. Application deployment(Java springboot, vue2+nginx), postgresql database management, backend server and frontend server maintenance on Alibaba Cloud.3. Designed the application testing procedure, conducted stress test by simulating high concurrent requests with python locust, and generated testing report4. Implemented apriori association ananlysis… Show more Participated in the development of a geochemical academic database1. Constructed automatic CI&CD workflow with GitHub action2. Application deployment(Java springboot, vue2+nginx), postgresql database management, backend server and frontend server maintenance on Alibaba Cloud.3. Designed the application testing procedure, conducted stress test by simulating high concurrent requests with python locust, and generated testing report4. Implemented apriori association ananlysis algorithm to explore potential relationships between minerals. Show less

Participated in the management of a new 3D camera software.1. Prepared project roadmap and Product Requirement Documents2. Designed software prototypes3. Pushing the progress of product devenlopment and liasing with coworkers from software develpment, vision algorithm development, documentation, and QA departments.4. Prepared new software version publication metirals together with marketing department.

Team leader of a project on building a people counting system from sketch with computer vision algorithms.1. Prepared project proposals, project road map, system architecture mind map, and product requirement documents.2. Recruited project team and was in charge of general team management matters.3. Researched relevant papers, conducted experiments, and analyzed techniques from competitors to design computer vision algorithm4. Trained and deployed object detection models on edge… Show more Team leader of a project on building a people counting system from sketch with computer vision algorithms.1. Prepared project proposals, project road map, system architecture mind map, and product requirement documents.2. Recruited project team and was in charge of general team management matters.3. Researched relevant papers, conducted experiments, and analyzed techniques from competitors to design computer vision algorithm4. Trained and deployed object detection models on edge devices5. Applied stereo binocular matching, background subtraction, and gray projection algorithms for human detection, and centroid tracker for human tracking6. Cooperated with the product manager, system engineers, and hardware engineers Show less

Participated in developing a notification service web application, which is integrated withSaaS and third-party social media applications, to send the alert message from facialrecognition devices.• Built WhatsApp service bot and Facebook Messenger service bot, and integrated them with SaaS by using Java spring boot, JPA, and MySQL.• Deployed projects with docker on testing servers and AWS.• Built frontend dialogs and application list with vue.js• Collaborated with the… Show more Participated in developing a notification service web application, which is integrated withSaaS and third-party social media applications, to send the alert message from facialrecognition devices.• Built WhatsApp service bot and Facebook Messenger service bot, and integrated them with SaaS by using Java spring boot, JPA, and MySQL.• Deployed projects with docker on testing servers and AWS.• Built frontend dialogs and application list with vue.js• Collaborated with the team by using git. Show less

Involved in an acoustic machine learning project by using car engine sound to detect issues, engine capacity and other properties.1. Used python librosa package to extract features by transforming audio signals to melspectrogram2. Used pandas for data cleaning3. Data collection by recording engine sound on spot for various car models4. Built a pipeline to crawl online data and upload to aws S3 bucket automatically5. Retrained resnet50 model and PANNs for classifying engine… Show more Involved in an acoustic machine learning project by using car engine sound to detect issues, engine capacity and other properties.1. Used python librosa package to extract features by transforming audio signals to melspectrogram2. Used pandas for data cleaning3. Data collection by recording engine sound on spot for various car models4. Built a pipeline to crawl online data and upload to aws S3 bucket automatically5. Retrained resnet50 model and PANNs for classifying engine capacity by engine sound Show less