# Darren Yang

> Software Engineer at Microsoft

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/darrenyang

•      Tech Lead Software Engineer, building telemetry/log ingestion platform, running customized hardware parser/transformation logic for Azure fleet hardware health.
•      5 years experience on large-scale, low latency streaming/batch processing, building high-throughput , low latency, secured, reliable, efficient, cloud-native data infrastructure.

## Work Experience
### Software Engineer @ Microsoft
Jan 2021 – Present | Redmond, Washington, United States
Azure Hardware Health Telemetry Ingestion Service

    • Built large scale distributed telemetry ingestion service to monitor Azure fleet health.
    • Built ingestion/data ETL pipelines with Azure Event Hubs, Service Fabric, Synapse (Spark), Data Lake and Kusto.
    • Built scalable/flexible infrastructure as code for multi tenants/regions.

### Software Engineer @ Microsoft
Jan 2019 – Jan 2021 | Redmond, Washington
Azure Hardware Health Alerting Service

Built service sending Out For Repair (OFR) requests for sick nodes to datacenter ticketing system.
Built alerting platforms, supporting end-to-end node OFR workflows, with customized real-time/analytical alerts.

### IT Support Specialist @ University of Washington
Jan 2019 – Jan 2019 | Greater Seattle Area

### AI Research Intern @ Baidu USA
Jan 2018 – Jan 2018 | sunnyvale, CA
AI Security Research on Computer Vision and Object Detector

 • Proposed an optimization method to craft adversarial examples to attack YOLO object detector with a success rate of 100%.
 • Put forward a robust physical adversarial sticker generation method based on an extended Expectation over Transformation with a success rate of 0.72. Recognized and verified the effectiveness of a brand new form of “Off-Target Watermark attack”.

### Algorithm Research Intern @ Uisee Technology (Beijing) Ltd
Jan 2017 – Jan 2017 | Beijing City, China
1. Designed an arrangement of RGB-D cameras in parking garage, an auto-parking scenario.
2. Implemented a camera fusion algorithm to handle RGB-D depth data and generate obstacles expression in general coordinate.

### Software Engineer Intern @ Microsoft
Jan 2017 – Jan 2017 | Beijing
Developed an Intelligent Interactive Indoor Path Guide for people (still serving in 14th Floor, MSRA (Beijing) Office Building No.2).
1. Developed an interactive web interface to allow users searching paths, adding paths and annotate paths on the map.
2. Built a manipulator controller on ASP.NET to integrate MapU, MapI, database and frontend support, deployed on Microsoft Azure.

### Visiting Research Scholar @ University of Illinois at Urbana-Champaign
Jan 2015 – Jan 2015
Work with Fu, Wai-Tat, associate professor of Department of Computer Science, UIUC
Researched the Descriptions, Updates and Comments of failed projects On Kickstarter, and give advice to projects that almost get success.

### Research Assistant @ Tsingua University
Jan 2015 – Jan 2015 | Beijing, China
Work with Professor Jia Jia, PHD student Huijie Lin, Tsinghua University.
Researched on A pressure predicted model based on user’s weibo contents 
backend algorithm for Moodee, an emotion and health assistant application.


## Education
### Master's degree in Master of Science and Technology Innovation
University of Washington

### Master's degree in Master of Data Science & Big Data
Tsinghua University

### Master’s Degree in Connected Devices
UW's Global Innovation Exchange

### Bachelor’s Degree in Computer Science and Technology
Tsinghua University


## Contact & Social
- LinkedIn: https://linkedin.com/in/darrenyuyang
- Portfolio: https://thuyangyu.github.io

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Source: https://flows.cv/darrenyang
JSON Resume: https://flows.cv/darrenyang/resume.json
Last updated: 2026-03-29