I am a Go developer with over 6 years of experience building microservices for high-load distributed systems. My expertise spans system design, business logic implementation, SQL optimization, asynchronous data processing, and CI/CD pipelines. I am proficient in technologies such as PostgreSQL, Kafka, NATS, Redis, Hyperledger Fabric, WebRTC, and Kubernetes. I write clean, maintainable code backed by comprehensive tests, with a strong focus on performance and fault tolerance.
Throughout my career, I have designed and implemented core services using Hyperledger Fabric, including smart contract logic for account management and emission, achieving over 6,000 transactions per second. I introduced asynchronous transaction signing queues via NATS Jet Stream, which reduced load on core services and improved response times by 40%. Additionally, I accelerated transaction processing by 25% through Redis caching and achieved over 80% unit and integration test coverage to identify and fix edge-case bugs.
I have integrated Prometheus and Grafana monitoring tools to track service metrics and the state of Hyperledger networks. I have configured CI pipelines using GitLab CI for building and testing microservices and participated in deployments to Kubernetes environments using Helm. I also proposed and led the migration of transaction validation logic to dedicated microservices, improving system modularity and reducing deployment risks.
In my recent projects, I architect and develop REST and gRPC microservices integrating AI-driven features with SAP S/4HANA and internal enterprise platforms, reducing data synchronization latency by 35%. I design backend services for synchronizing data between internal and external systems, implement monitoring and metrics collection, and containerize services for Kubernetes deployment with automated CI/CD pipelines.
I have optimized Kafka consumer groups and partition strategies to increase message processing throughput by 40%, redesigned database indexing strategies to cut analytics query times by 60%, and reduced MongoDB read load by 30% through strategic Redis caching. My experience also includes developing real-time video streaming solutions with WebRTC and Kafka, implementing complex business logic, and building advanced search engines with multi-parameter filtering and full-text search.
I am passionate about building scalable, reliable, and efficient software systems and continuously improving developer workflows through automation and tooling. I contribute to onboarding documentation and code reviews to enhance team productivity and velocity during periods of rapid growth.
