🚀 Senior Java Engineer | Backend Architect | System Designer | AI-for-DevOps Enthusiast | 14+ Years Experience
With over 14 years of hands-on experience in backend development, I’ve built and scaled distributed systems, high-traffic microservices, and cloud-native architectures for real-world business challenges.
I'm deeply rooted in Java and Spring ecosystem, but I thrive at the intersection of backend systems, distributed computing, and AI-enabled automation. Whether it’s designing fault-tolerant systems or experimenting with GPT-based developer tools, I enjoy solving hard problems with simplicity and scale in mind.
- 👨💻 Languages: Java, SQL, Shell, Python (basic)
- 🌿 Frameworks: Spring Boot, Spring Security, Spring Cloud, JPA, Hibernate
- 🏗 Architecture: Microservices, Event-Driven, REST, Monolith to Microservices Transition
- 🗃️ Databases: PostgreSQL, MySQL, MongoDB, Redis, S3
- 🔀 Messaging: Kafka, RabbitMQ
- ☁ Cloud & Infra: AWS (S3, Lambda, EC2), Docker, CI/CD (GitHub Actions, Jenkins)
- 🔍 Monitoring: Prometheus, Grafana, CloudWatch
- 📊 Data Engineering: Apache Spark with Java, Databricks Pipelines, Delta Lake
- 🤖 AI/LLM Integration:
- AI-assisted code review and refactoring tools using GPT-4
- Prompt engineering for test case generation, SQL generation, and documentation
- LLMs for data quality validation, anomaly detection, and log analysis
- Building internal tools that combine Spring Boot backends with OpenAI APIs
| Use-Case | Description |
|---|---|
| 🧾 Smart Code Review Bot | Java code gets auto-reviewed by GPT-4 before pull requests are merged |
| 🔍 AI Log Analyzer | LLM analyzes error logs and provides root cause suggestions |
| 🧪 Test Generator | Converts method signatures into full-fledged unit tests with JUnit5 |
| 📄 AI Doc Writer | Converts raw Java code to clean, structured documentation |
| 🧠 Databricks + LLM | Use LLM to validate large datasets and generate insights on the fly |
- ⚙️
multi-tenant-data-pipeline– Java + Spark + S3 with dataset usage billing and job orchestration - 🧠
ai-code-reviewer– Plug-n-play GPT-powered static analyzer for Java apps - 📘
java-interview-kit– A full career transition kit for mid to senior Java devs (3–10 YOE) - 🔍
system-design-java– Real-world Java-centric system designs with diagrams
| Repo | Description | Tech Stack |
|---|---|---|
java-interview-kit |
Interview prep: Questions, system design, resume tips | Java, Markdown |
multi-tenant-data-pipeline |
Spring Boot + Spark + Billing pipeline | Spring Boot, Spark, PostgreSQL, S3 |
ai-code-reviewer |
GPT-enhanced code analysis tool | Java, OpenAI, REST |
peer-vehicle-rental |
Rent vehicles from neighbors backend | Spring Boot, JWT, MySQL |
system-design-java |
System design examples in backend Java | Java, Diagrams |
- 📬 Email:
[email protected] - 💻 GitHub: github.com/NareshKumarSanda
- 👨🏫 Mentor 100+ Java developers in system design and backend architecture
- 🚀 Open-source 2 AI-powered tools for developer productivity
- ✍️ Publish: Java System Design Handbook (By Naresh Kumar – 15 YOE)
Java, Spring Boot, Microservices, System Design, Apache Spark, Databricks, AI + Java, Code Reviews, Career Transition, Platform Architecture