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ritikbansod/README.md

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👨‍💻 About Me

  • 🔧 Java Backend Developer with 3+ years at Wipro Limited, Pune, designing enterprise-grade web apps and cloud-native microservices with Core Java, Spring Boot & REST
  • 🚀 Open Source Author & Maintainer of Kview (Apache Kafka® UI, CLI & MCP server)
  • ☸️ Deploying containerized services on Kubernetes with Helm inside Service Mesh environments; Kafka + Strimzi for event-driven communication
  • ⚡ Cut backend processing time by 25% and boosted deployment efficiency by 30% through Jenkins CI/CD automation
  • 📊 Observability with Prometheus & Grafana; root-cause analysis of production issues across distributed services
  • 🤖 Leveling up as an AI-augmented engineer: using AWS Kiro and Claude agent workflows daily and wiring MCP servers into Java microservices
  • 🎓 AWS Certified Cloud Practitioner · Kubernetes Application Developer Training (KodeKloud) · Spring Boot L1 & L2 (Wipro)
  • 🏫 B.E. in Electrical Engineering (Nagpur, 2018 to 2022) now engineering distributed systems

🤖 AI-Native Development (2026 Stack)

I treat AI tooling like production infrastructure, with the same rigor as any other part of the pipeline:

Layer Tools I work with
Pair & agent coding AWS Kiro for spec-driven agent workflows; Claude for AI-assisted development & code review
Context protocol MCP (Model Context Protocol): connecting LLMs to real backend/DevOps context
AI in the JVM Spring AI & LangChain4j for chat, embeddings & MCP servers in Spring Boot
AI-assisted delivery AI code review, log-triage & root-cause analysis in CI pipelines

AWS Kiro MCP Spring AI LangChain4j OpenAI Claude

🛠️ Tech Stack

Java Spring Boot Hibernate Python Bash Docker Kubernetes Apache Kafka MySQL PostgreSQL Jenkins Prometheus Grafana Git GitHub Linux Maven Eclipse IDE Postman HTML CSS JavaScript Angular AWS

Helm Strimzi SonarQube JUnit 5 Mockito Gerrit AWS

🚀 Featured Open Source Project: Kview (v1.0.0)

Kview is an ultra-lightweight, zero-dependency Apache Kafka® web management tool, CLI, and Model Context Protocol (MCP) server.

  • 📊 Real-Time Topology & Dashboard: Interactive SVG pipeline connecting Producers → Brokers → Partitions → Consumers with live throughput counters.
  • 🔍 Non-Committing Safe Reads: Browse topics via partition assignment seeks and stream records over Server-Sent Events (SSE) without triggering consumer group rebalances.
  • 📜 Pluggable Schema Registry SPI: Confluent, Redpanda, Karapace, and Apicurio support with 5-byte wire sniffing, Avro/JSON codecs, and in-memory caching.
  • 🔐 Multi-Cluster & Enterprise Auth: Runtime cluster switching supporting mTLS (PEM paste), SASL (PLAIN, SCRAM-SHA-256/512), and OAuth2 OIDC client credentials.
  • 🤖 16-Tool AI Agent MCP Server: Connect Claude Desktop, Cursor, and AI coding agents directly to Kafka to inspect lag, query metadata, and produce test messages over JSON-RPC.
# Run instantly with Docker:
docker run -d -p 8080:8080 --name kview ghcr.io/ritikbansod/kview:1.0.0

📊 GitHub Stats

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🐍 Contribution Snake

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🤝 Connect With Me

⭐ From ritikbansod, endlessly curious, now with AI in the loop.

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