TikTok

Lead Backend Engineer

Microsoft

Build Microsoft Ads Serving Data Publishing System from scratch, which is one of the largest distributed systems in Microsoft Ads and self-serving 100+ teams to publish their data to Ads serving stack. 
- P2P, streaming, dynamic throttling, gating check, stage rollout, version control, etc.

Principle Architect

Twitter

Lead and manage Twitter's product safety systems team, and design and develop Twitter's real-time rule engine supporting deep learning models that empower
- spam detection, remediation, filtering, and downranking
- abuse and trolls detection, filtering, and downranking
- fake accounts (bots) detection and remediation
- product policy (term of service) enforcement
- important user accounts (VITs) protection
- machine-learning feature engineering
- counter DDOS attacks
- and much more

Staff Software Engineer

·	Time travel system for Anti-spam and Anti-malware in Office 365 that can recall or rescue emails after delivery based on their signatures.
·	Office 365 Anti-spam reputation system that detects deviations of the real time stats of IPs, domains, tenants and fingerprints from their historical records.
·	Anti-Spam machine learning feature extraction, training pipeline, and classification engine.
·	Spam analytic cubes for historical and trend analysis of tenant and domain reputations. 
·	Office 365 Spam engine that detects spam emails based on IP, domain and URL lists, reputation and DNS queries, machine learning models, fingerprint clustering, user social graph, and heuristic rules etc.
·	Distributed log store with real time search and get top queries over billions of rows.
·	Streaming based distributed live spam feeds store for scanning, clustering, fingerprint and triage.
·	Scheduler library for batch pipeline jobs execution and feeds download.
·	Real time streaming optics infrastructure in Office 365.
·	A metadata driven ETL framework in AdCenter BI system.
·	Real time streaming pipeline in AdCenter user targeting platform.
·	Real time user mapping and profile service in user targeting and Ad delivery.
·	Automated deployment solution for AdCenter user targeting clusters.
·	Distributed cache in Windows Live User Profile service.
·	Async SOA controller in Windows Live User Profile service.

Principle SDE

Expert in microservice architecture, streaming programming and analytics,
Proficient in Domain Specific Languages design for Cloud platforms,
Deep domain knowledge in spam and fraud detection, user targeting,
Experienced in Machine learning and deep learning frameworks.


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