Azure Capacity Management
Developed solutions to predict capacity days-to-exhaustion and Develop Buffer Capacity Management strategy to reserve the empty node/core buffer to fit the tenant upgrade needs. Work on feature engineering and data pre-processing. Investigate AutoML's performance and compare the result with tuned models by domain experts.
Azure Node Failure Prediction
Co-authored a Paper: Predicting Node Failure in Cloud Service Systems ACCEPTED at ESEC/FSE 2018.
- Work on Feature Engineering, Model Tuning and Service Development.
- Developed a production-ready predictive service for engineering teams.
- Achieved 43% reduction on Azure VMs’ failure rate.
BoneyCare is designed to help people with speech disorders improve their conﬁdence and speaking quality. The app records, transcribes and analyzes a users speech patterns, which speech pathologists can then use to improve and accelerate their diagnoses and treatment plans. This project is a collaboration between 2nd year computer science students from two Chinese universities and UC Berkeley.
First app targeting stutter with cloud-based machine learning, voice recognition, wave analysis, and emotion recognition technology.
Provide a new way to help speech pathologists connect and track their patients status.
Ability Award Winner at Imagine Cup World Final.
LightItUp is a hackathon solution based on MITM(man-in-the-middle) attack on DL/T645-2007 protocol that helps late-owl students gain access over their dorm's DL/T645-2007 compliant electricity meter and bypass enforcement of campus electicity after 23:00.
Sucessfully gained remote control of school electricity command and control device.
Conducted Proof Of Concept Attack and controlled 30s of black out across the whole dorm building.