chaitanya hazari

Software Engineer

Chaitanya Hazari

Software developer currently using java, python, node.js

What I do

I build and maintain large-scale business applications with complex data models, strict audit requirements, and real-world constraints. I focus on:

  • Backend services and APIs
  • Data modeling and migrations
  • Performance, stability, and observability
  • Practical patterns that keep teams fast without creating long-term mess

Current interests

Areas I spend time on:

  • Agent orchestration and tool-based workflows
  • Structured-data-first AI systems
  • Document + SQL hybrid architectures
  • Production-safe evaluation and monitoring
  • Responsible automation for business processes

AI + agentic systems stack

Agentic systems using a mix of Java and modern scripting ecosystems:

Java / Spring

  • Java
  • Spring Boot
  • Spring AI
  • JPA/Hibernate
  • Maven

Python

  • FastAPI
  • Pydantic
  • LangGraph-style agent orchestration patterns
  • Retrieval + evaluation pipelines

Node.js

  • TypeScript
  • Express
  • NestJS-style modular service patterns
  • Integration and workflow services

Data + retrieval

  • PostgreSQL
  • Oracle
  • SQL Server
  • Vector and hybrid search patterns where appropriate
  • Governance-first knowledge workflows

Testing and automation

  • JUnit
  • Integration testing patterns
  • Playwright (stability-first framework design)

Platform and delivery

  • CI/CD pipelines
  • Cloud-hosted services and managed databases
  • Observability-first design with logs, metrics, and traces

Engineering style

I tend to value:

  • Strong separation of concerns
  • Consistent patterns across the codebase
  • Small, readable abstractions over clever ones
  • Defensive programming where it prevents real incidents
  • Good defaults: formatting, tests, and predictable builds

Selected work

A lot of my work involves large enterprise systems with strict governance and complex domain logic. I’m careful about what I publish publicly, but the themes you’ll see across my projects are:

  • Clean service boundaries
  • Thoughtful entity modeling and data access patterns
  • Auditability and traceability
  • Failure-safe workflows
  • Practical performance improvements

Check the repos pinned on my profile for the best examples.

Open source and experiments

This is where I explore:

  • Reference implementations
  • Architecture prototypes
  • Utility libraries
  • Testing templates
  • Agent and integration patterns that translate well into enterprise settings

What you can expect from my repos

Most repos aim to be:

  • Easy to run
  • Well documented
  • Built with maintainable patterns
  • Useful as a reference even if you don’t use the exact stack

Community projects worth checking out

These are not my repos, but they’re excellent references:

https://github.com/spring-projects/spring-ai
A strong reference for building AI features in the Spring ecosystem.

https://github.com/langchain-ai/langgraph
A practical blueprint for stateful agent workflows and tool orchestration.

https://github.com/langchain-ai/langchain
Useful patterns for retrieval, tools, and production-minded LLM integration.

https://github.com/fastapi/fastapi
Clean examples of modern Python service design and API ergonomics.

https://github.com/nestjs/nest
A solid reference for structured, scalable Node.js/TypeScript services.

https://github.com/microsoft/playwright
Excellent for building reliable UI automation with a modern testing philosophy.

Contact