Zhuguo Xu

Results-driven Backend Software Engineer with 5+ years of experience architecting high-concurrency, data-intensive systems for millions of daily active users. Proven track record in orchestrating complex microservices, implementing strict anti-overselling transaction mechanisms, and designing resilient traffic gateways. Adept at driving systemic stability (99.99% SLA) and infrastructure FinOps optimization in large-scale local services platforms.

• Backend Software Engineer (L7) | Consumer-Facing Dept Jan. 2023 – Present

Meituan | Top Performer (2025H1/2025H2) Shanghai, China

– Project: Millions-Scale UGC AI Feature Scheduling & Commercial Insight Engine

∗ Architected a Lambda-based asynchronous scheduling pipeline processing 10M+ daily reviews, bridging massive data surges and strict LLM API quotas (500 QPS limit).

∗ Engineered a resilient Kafka consumer gateway utilizing dual-window micro-batching. Implemented a Dead Letter Queue (DLQ) to isolate LLM-crashing “poison pills” and a SkipList offset tracker to guarantee at-least-once semantics.

∗ Developed a commercial insight engine via two-stage Spark salting and Milvus vector clustering to extract merchant highlights from unstructured reviews. Deployed a Geo-Spatial TF-IDF scoring algorithm, driving a 3% CTR uplift.

– Project: Read-Intensive Traffic Aggregation Gateway for LBS Booking Shelf

∗ Architected a high-concurrency aggregation layer utilizing a consolidated Redis view cache to bridge the gap between 12K QPS discrete LBS read traffic and an 8K QPS downstream inventory hard quota.

∗ Optimized payload physics to bypass downstream ETag dependencies. Engineered Protobuf serialization and Zstd compression to shrink 1MB full-view payloads by 80%, sustaining P99 latency under 120ms without overloading NIC bandwidth limits.

∗ Engineered an MQ-depth-driven adaptive TTL backpressure mechanism to prevent cache stampedes. Implemented an atomic in-flight Redis lock (SETNX) with active consumer-side release to strictly eliminate update amplification, ensuring a 99.99% SLA.

– Project: High-Concurrency SDUI BFF Engine & DAG Execution Architecture

∗ Led the architectural evolution of the SDUI-based BFF engine for Meituan’s C-end funnel. Decoupled frontend rendering from backend logic via Zookeeper-managed schemas, slashing A/B testing and UI iteration cycles from weeks to minutes.

∗ Refactored the routing architecture to handle explosive UI combinations across 50+ verticals and hundreds of concurrent A/B experiments. Implemented AOT compilation for structural DAGs, reducing gateway CPU overhead by 35%.

∗ Pioneered a field-level DAG concurrency model with Partial Degradation. Automatically isolated non-core downstream timeouts while preserving core transactional fields, preventing cascading failures and sustaining a 99.99% rendering rate.

• Backend Software Engineer (L5/L6) | Merchant-Facing SaaS Dept Jul. 2021 – Jan. 2023

Meituan | Top Performer (2022H1) Shanghai, China

– Project: High-Concurrency SaaS Booking Engine & Anti-Overselling Architecture

∗ Architected a resilient booking engine for 20K+ merchants. Resolved a 300 TPS legacy bottleneck by implementing Redisson distributed locks with lexicographical sorting to prevent deadlocks, boosting core API throughput to 2.5K TPS.

∗ Engineered strict transaction boundaries (post-commit lock releases) to systematically prevent phantom overselling. Designed a graceful degradation strategy via global rate limiting and merchant-tier prioritization during Redis outages.

∗ Achieved cross-service eventual consistency via a Transactional Outbox pattern. Combined Kafka fast-path delivery with a polling worker for delayed records, reducing manual reconciliation efforts by 95% and maintaining 18 months of zero-overselling incidents.

• Huazhong University of Science and Technology (HUST) | Master’s Degree Wuhan, China | Sep. 2018 – Jul. 2021

• Xidian University | Bachelor’s Degree Xi’an, China | Sep. 2014 – Jul. 2018