Xinyi / Vicky Xiang

About me

Hi, my name is Xinyi / Vicky, I am a masters student at UW's CLMS program.

This site is a repository of my past experiences, projects, and notes.

Data integration

Experience with query tuning, schema design, and ETL processes. Built and operated distributed systems with web and networking services at large scale.
Semantic Info Extract

Familiarity with AI frameworks and tools, such as TensorFlow, PyTorch and scikit-learn.
Mobile apps

With a focus on healthcare, infrastructure management, and distributed training on iOS.
Photography & Videography

I take mostly landscape and architecture photos. Experience with image, video and audio post-editing.

University of Washington
Sept 2023 — present
MS student @ UW CLMS.
University of Washington
Sept 2019 — Mar 2023
Dual degree in Statistics and Linguistics, with a concentration track on Computational Linguistics.
Johns Hopkins University
Jun - Aug 2018
Engineering Innovation is a college-level, summer engineering program.

Bioinformatics Analyst @ Boston Children's Hospital - Harvard Medical School
Jun — Sept 2023
Designed and developed a synchronous analytical web app used by PIs and medical professionals. Led the database integration with RedCap, Amazon EC2 to support clinical and protected health data management. Examined and processed 15+ categories of child rare diseases data and respective genetic testing in 50,000+ entries.
Software Engineer @ Dataminr
Jun - Sept 2022
Built new architectures of the pipeline system to monitor crisis response and risk mitigation information. Partitioned, transformed cloud platform data with SQL, Amazon S3 and snowflake. Designed SQL schema that presents assembled, high-throughput JSON data; lowered latency by 65%.
Data Engineer @ Tsinghua Tongfang
Jun - Sept 2019
Built classification model over vehicle types, and implemented ResNet-50, CNN with caffe, Tensorflow on highway emergency detection. Worked on the revision paper Real-time Traffic Congestion Detection with SIGHTA Regression Network, presented at the 2019 IEEE 9th International Conference on Electronics Information and Emergency Communication (ICEIEC).