· Configured Alibaba Nacos for service registration and discovery, Redis database for caching, MySQL for data storage, and local maven repository for dependency management, created documentation for remote development setup and onboarding · Grouped and documented over 100 API endpoints for functional testing, gained exposure in OAuth2, SSO, JWT, caching · Implemented employee batch input and output function for SaaS clients (tenants), saving company admins 80% registration time· Gained exposure in system performance and scalability in a cloud computing environment by leveraging microservices architecture and web services.· Gained experience in CI/CD pipelines using ZenTao DevOps, integrating Git, GitLab, Subversion system integration, Jenkins build task triggering and ZTF automation test scheduling

· Identified three functional and technical solutions to meet requirements with researchers, non-profit organizers, and developers · Conducted code reviews and design meetings, provided technical support for teammates, resolved version control conflicts · Researched, modified, and implemented software design, demonstrated cross-functional project management and leadership skills Skills: JavaScript, React, Redux, Firebase, Netlify, Git, GitHub, Web Development, HTML5, XML, JSON, npm

Testing Computational Models in Psychology and Natural Language Processing • Analyzed MINERVA2 model’s ability to differentiate grammars using 20 training exemplars from two grammatical structures• Replicated the statistical analysis between given experimental lexical decision data and word frequency data using Excel, produced 1 experimental proposal on grammar and 3 analytical reports on MINERVA2, lexical organization, and latent semantic analysisMachine Learning: Predicting Consumer Credit Using Machine Learning Tools • Trained and tested 9 models on 1000 instances of customer credit and recommended SVM with the Polynomial Kernel model• Identified three critical factors predicting credit status out of 20 predictor variables using bagging, random forest, and boosting• Generated three insights regarding consumer credit; Created visual presentation using graphics created by R-scriptsSkills: JASP, Excel, Python, R Machine Learning Library (caret, tree, gbm, glmnet, pls, e1071, mclust, torch, luz), Python (PyTorch)

· Led the organization of three chapter events, collaborating closely with committee members, advisors, and fraternity headquarters· Co-facilitated weekly meetings to drive chapter initiatives and strength communication, leading the McGill chapter to be the host of annual meeting by 213 members and alumnae from 14 universities in Canada and the U.S., fostering cross-chapter connection

Tested public transit data Dashboard, created graphics and powerpoints for sales, shadowed Alibaba Cloud Architect Mo San

Extracted and cleaned target data sets in Terabytes, organized log files, documented data fields, contributed to modelling workflow