Education
Ph.D. and M.S. in Computer Science
B.S. in Bioinformatics
Experience
ByteDance Inc. - AI Algorithm Engineer, Tech Lead
Oct 2023 - Present
- TikTok Monetization, Brand Ads: building AI features for TikTok Branded Search Hub, with a focus on video content understanding and multimodal marketing and sales tooling for brand advertisers.
- AI for IT infrastructure, operations, and services: leading autonomous AI agents for IT operations, intelligent workspace services, and LLM-powered network observability.
AInsurMe Inc. - Founder and CEO
Apr 2023 - Oct 2023
- Built Ignitor, an AI-powered guide for retirement planning and annuity education.
Salesforce, AI Research - Lead Applied Scientist
Sep 2021 - Apr 2023
- Led applied research in AI for IT operations and service availability, spanning time-series forecasting, anomaly detection, log analysis, and safe deployment.
- Led development of open-source AI libraries, including LogAI, a library for log analytics and intelligence.
- Designed and built streaming machine learning platforms for Salesforce Monitoring Cloud, processing millions of log streams and alerts.
Amazon, AWS - Applied Scientist, Science Lead
Jan 2020 - Sep 2021
- Drove AI/ML innovation within AWS CloudWatch and Observability as the sole applied scientist on the team.
- Owned the CloudWatch anomaly detection service and scaled its impact, contributing to strong year-over-year growth.
- Designed, built, and operated highly scalable time-series machine learning infrastructure.
Microsoft, Cloud and AI - Senior Data and Applied Scientist, Tech Lead
Mar 2017 - Jan 2020
- Served as a founding team member of Azure AIOps initiatives, delivering solutions adopted across multiple Azure teams to prevent critical issues, improve DevOps efficiency, and reduce operational cost.
- Played a key role in developing Gandalf, an end-to-end analytics service for safe deployment in large-scale cloud infrastructure.
- Contributed to DeepAD, an anomaly detection and auto-diagnostics system for the Azure control plane built on advanced AI/ML methods.
Microsoft, Azure - Research SDE Intern
May 2016 - Aug 2016
- Productized machine learning solutions to optimize Azure resource allocation, identify bugs, and assess operational risk.
Microsoft, Research - Research Intern
May 2015 - Aug 2016
- Developed the industry's first Gaussian mixture model for Azure compute user retention and churn analysis, generating actionable product insights.
- Built an early prediction model for Azure VM interrupts and downtime to improve reliability forecasting.
