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yashdotdev13/README.md

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Java Spring Boot Kafka Kubernetes


👨‍💻 About Me

I'm a Backend Engineer focused on designing and building scalable, distributed, and event-driven systems.

I enjoy working on engineering problems where scalability, consistency, reliability, performance, and observability matter.

⚙️ Backend 🌐 Distributed Systems ☁️ Cloud Native 🤝 Open Source
Java & Spring Boot Kafka & Event-Driven Architecture Docker & Kubernetes Java & Spring Ecosystem

  • 🔭 Building production-oriented backend and distributed systems
  • ⚡ Working primarily with Java, Spring Boot, Spring Cloud, Kafka, and Kubernetes
  • 🌱 Exploring distributed systems, graph databases, benchmarking, and cloud infrastructure
  • 🤝 Contributing to open-source projects and learning from large production codebases

🔭 Current Focus

🌐 Distributed Systems

Scalability · Asynchronous Communication · Reliability · Consistency

📡 Event-Driven Architecture

Kafka · Messaging · Distributed Workflows · Real-Time Processing

🧠 Data & Performance

Graph Databases · Benchmarking · Workload Analysis · Performance Engineering

🤝 Open Source

Issue Investigation · Regression Tests · Framework Contributions · Code Reviews


🌍 Open Source Journey

I actively work with projects in the Java, Spring, Microservices, and Distributed Systems ecosystem.

My open-source work focuses on understanding existing architectures, reproducing issues, implementing focused changes, writing regression tests, and participating in review workflows.

Ecosystem Areas of Work
🌱 Spring Cloud Configuration & distributed system infrastructure
☁️ Spring Cloud OpenFeign HTTP client integration
🎯 Spring Cloud Netflix Service discovery & health behavior
🔐 Spring Security Framework ecosystem
🛡️ Resilience4j Reliability patterns
🧪 Testcontainers Integration testing infrastructure
Apache Dubbo Distributed services
🐶 Spring PetClinic Microservices architecture

Open-source engineering has taught me that writing the code is only part of the work. Understanding existing architecture, reproducing problems, preserving compatibility, and writing reliable regression tests are equally important.


🛠️ Technology Stack

Backend & Distributed Systems

Databases & Data Systems

Cloud & DevOps

Engineering Tools


🧭 Engineering Interests

Distributed Systems  •  Event-Driven Architecture  •  System Design  •  Backend Scalability



Caching & Consistency  •  Cloud-Native Infrastructure  •  Observability  •  Performance Engineering



Graph Databases  •  Open Source  •  Reliable Systems


💡 Engineering Philosophy

Design for failure. Measure before optimizing. Understand the trade-offs.


Always building. Always learning. Always improving.


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