I am a backend software engineer with more than eight years of experience building reliable, high-performance distributed systems. My primary expertise is Golang backend development, with additional experience in Java and TypeScript.
I design and optimize services for concurrency, asynchronous processing, data consistency, and system performance. I have worked on event-driven architectures, message queues, idempotency controls, webhook integrations, and large-scale data processing.
I am experienced with relational and NoSQL storage systems including MySQL, Redis, MongoDB, and ClickHouse. I use techniques such as atomic SQL updates, optimistic concurrency control, Lua scripts, data reconciliation tasks, and dual-write migrations to protect data integrity.
My recent work includes device event callback services, stablecoin-to-fiat withdrawal workflows, and traffic analytics platforms processing more than 400 million daily requests. I have also contributed to distributed allocation systems and CRM platforms serving more than 10 million registered users.
I work with Go, Kafka, gRPC, Docker, AWS, Aliyun, React, and related backend frameworks. I focus on delivering maintainable services that are scalable, observable, and resilient under high concurrency.
Built a reliable event callback service for device status-change notifications.
Designed and implemented a webhook service that consumes AWS SQS messages and forwards events to downstream services. Added dynamic callback URL and authentication-credential configuration, plus database-based event deduplication to prevent repeated consumption and redundant notifications.
Developed the core withdrawal workflow for a stablecoin-to-fiat conversion platform, supporting user balance settlement.
Used atomic SQL updates to prevent overdrafts under concurrent requests. Implemented idempotent third-party payment calls and asynchronous callback processing to prevent duplicate-payment risks, and built scheduled reconciliation tasks with alerts for inconsistencies between platform and payment-service data.
Developed a traffic analysis platform providing enterprise customers with regional traffic insights, top IP addresses, URL-level statistics, and detailed traffic records.
Co-designed a large-scale analytics system with the big data team to process more than 400 million daily requests. Used ClickHouse for analytical storage and query APIs, and designed dimension-specific aggregation tables for IP, region, and URL statistics, enabling dashboard retrieval within one second.
Owned the goods allocation calculation service for an online fresh-food platform, calculating warehouse-to-store delivery quantities.
Redesigned a single-node computation system into a distributed producer-consumer architecture using message queues for task distribution and Redis for result aggregation, improving performance by five to six times. Implemented version-based optimistic concurrency control, atomic Lua operations, and scheduled monitoring for timed-out and abnormal batch tasks.
Redesigned a legacy permission management system using a standard role-based access control model to improve maintainability.
Completed a smooth migration through a dual-write strategy that maintained consistency between old and new systems. Developed scheduled jobs to identify and alert on inconsistent records.
Maintained and optimized a CRM system for a platform with more than 10 million registered users.
Adopted Kafka to process high-concurrency customer requests from advertising traffic, offline imports, and third-party callbacks. Built an event-driven model in which customer-status changes were published to Kafka topics, allowing downstream services to synchronize data without code changes.
Bachelor of Engineering, Electrical Engineering and Automation
Bachelor of Engineering in Electrical Engineering and Automation.
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