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About me |
Hi, I am Yvette. Welcome to my website.
I am currently a MTIS student in the University of Victoria. I gained my master degree in Hong Kong University in 2021 and have worked as an iOS developer for Tencent from 2021 to 2024.
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The University of Victoria
MTIS- Wait to be updated...
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The University of Hong Kong
MSc in Computer Science- Studied courses: Information Security, Smartphone App Development, Data Mining, Deep Learning, Cluster and Cloud Computing, Database, etc.
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Shanghai University
B.S. of Computer Science- GPA: 3.72/4.00 (Ranked 6th out of 280).
- Awards: First-class Scholarship (every academic year), Great Prize in Shanghai College Student Computer Competition, Great Prize in Shanghai Jiao Tong University VR/AR Competition.
Software Engineer
- Implemented features on the QQ iOS client.
- Reviewed product requirements and drafted technical proposals.
- Collaborated with project managers, UI designers, back-ends, and cross-department teams.
- Conducted network and memory performance analysis to improve product quality.
- Explored cutting-edge technologies like AI-Generated Content.
Key Projects:
- Video Editing Module: Developed real-time previews, intelligent editing, and visual effects using image processing and machine learning (GANs).
- Magic Avatar for QQ: Built a feature to merge style and facial images, enabling identity mixing during avatar generation.
- AIGC Demo Platform: Created a demo platform with stable diffusion and ControlNet for features like line art, in-painting, and out-painting.
Quantitative Developer Intern
- Designed and developed trader websites for data visualization and risk monitoring.
- Retrieved market data through vendors and stored it in databases.
- Managed real-time transaction data storage, including compression and Amazon S3 uploads.
Key Projects:
- Risk Manager: Displayed real-time changes in users' assets, profits, losses, and positions.
- Market Data Website: Built tools to calculate and display real-time market data.
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RememberAll: A cross-platform multimedia notepad app for iOS and Android, supporting text, images, audio, and video.
- Built with Realm, SQLite, Django, and Docker.
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Ask Wiki: An article-level answer retrieval web application for Wikipedia pages.
- Used ElasticSearch for document retrieval and a BERT-based MRC system for extracting answers.
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Cybersecurity Homelab: A simulation of IT infrastructure using virtual machines.
- Configured Windows Active Directory, Ubuntu workstations, SIEM (Splunk), and performed vulnerability scans with Nessus.
- Programming Languages: Objective-C, Swift, Python, HTML, CSS, TypeScript, SQL, C++
- Frameworks: iOS SDK, React, React Native, Vue, Django, Flask
- Tools: VMWare, Nessus, Splunk, Nginx, ModSecurity, Docker, Charles