Ying Lu
Ying Lu

Software Engineer | AI Infrastructure & Distributed Systems

Open to offers · Member since 15 Oct 2026
Location
Kirkland, United States
Desired salary
Unspecified
Work preference
Hybrid / Full Time
Experience level
Senior

About

Professional summary

I am a software engineer with more than six years of experience building and operating large-scale distributed systems and cloud infrastructure at Microsoft and AWS.

I specialize in fleet provisioning, capacity planning, distributed storage, cross-region replication, load balancing, request routing, and production reliability. My work has supported foundational platforms and customer workloads across multiple production regions.

At Microsoft, I have led Azure autopilot-layer provisioning and capacity efforts for Cosmos DB, connecting infrastructure supply with workload demand, recovery requirements, regional expansion, and customer growth.

I also have deep operational experience in observability, deployment automation, incident response, production readiness, root-cause analysis, and maintaining effective troubleshooting documentation for on-call teams.

Previously at AWS Elastic Load Balancing, I designed networking and high-availability capabilities for data-center infrastructure and launched customer-facing Application Load Balancer functionality.

I am also the founder of WiseKids, an AI-era learning platform that helps children develop decision-making, critical reasoning, and systems-thinking skills through quizzes and games.

Skills

23 capabilities

Experience

Career history

Software Engineer, Azure Proton / Cosmos DB Microsoft

Lead fleet provisioning and capacity planning on the Azure autopilot layer for Cosmos DB. Connect workload benchmarks and regional capacity reserves to provisioning, point-in-time restore migration, recovery demand, customer growth, and regional buildouts across a heterogeneous machine fleet.

Lead point-in-time restore readiness across cross-region and soft-delete validation, migration, certificates, SNI, infrastructure automation, monitoring, performance testing, capacity management, and rollout planning. Architected cross-region replication for an IPv4/IPv6-constrained environment, separating data replication from control messaging and defining regional addressing, DNS identities, and routing behavior.

Own Proton reliability and production readiness, supporting its progression to public preview and customer workloads across eight production regions. Redesigned incident ownership after analyzing more than 120 automation and routing incidents in one week, and established version-controlled troubleshooting guides, on-call SOPs, monitoring practices, and an AI-driven RCAKit tool.

Software Engineer, Elastic Load Balancing Amazon Web Services

Designed hardware platforms, physical topologies, routing architectures, and network-control systems for Amazon data-center networks. Built multi-node clustered capabilities to provide high availability and non-disruptive operations.

Led the design and launch of Application Cookie Stickiness with product and customer-success partners, enabling flexible client-to-target affinity and supporting migrations to Application Load Balancer. Led load-balancer cookie security hardening by adding cross-origin protections and resolving elevated production WAF errors through peer-connection cache diagnosis and tuning.

Research Assistant University of Washington

Built a validation system for disaster-response maps using coded excerpt clusters.

Supported analysis and validation work related to the 2014 Washington landslide and the 2016 Cascadia Rising disaster-response drill.

Founder, AI Learning Platform WiseKids

Founded WiseKids, an AI-era learning platform for children focused on decision-making, critical reasoning, and systems thinking. The platform provides quizzes and games across 22 skill categories, 84 topics, and four learning games.

Designed a science-backed spaced-repetition star system with reviews at one, three, and seven days, reaching permanent status after five reviews. Built parent progress views and secure child profiles using PIN protection, session protection, and HTTPS-only access, without advertising or behavioral tracking.

Education

Learning history

University of Washington, Seattle

M.S., Information Management, Data Science & Business Intelligence

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