- Code. Coffee. Scale it up ☕
- Passionate about designing large-scale distributed systems with clean, fault-tolerant architecture
- Focused on performance, availability, and system consistency under real-world constraints
- Deep interest in CAP, consensus algorithms (Raft, Paxos), service orchestration, and observability
- Clean architecture advocate · Asynchronous by default · Fail fast, recover smarter
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Languages: Java · Python · JavaScript · TypeScript · Go · C#
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Frameworks / Libraries:
- Java: Spring Boot · Spring Cloud · Spring Security · Netty · MyBatis
- Python: FastAPI · Flask · asyncio · Celery
- JS/TS: React · Node.js · Express · Next.js
- Go: Gin · Echo · gRPC
- C#: ASP.NET Core · SignalR · WinForms (for internal tools)
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Databases / Infra: MongoDB · MySQL · Redis · PostgreSQL · Kafka · RabbitMQ · Docker · Nginx
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Dev Focus: Large-scale distributed systems · Backend architecture · Microservices · Event-driven design Distributed transactions · Async messaging · System observability (tracing, metrics, logging) Internal developer tooling · Performance tuning · Fault injection & recovery patterns
Kubernetes · Prometheus · Grafana · ELK Stack (Elasticsearch, Logstash, Kibana) Consul · Etcd · Zookeeper · GitHub Actions · Jenkins · Helm · Istio · Nacos