I am a backend software engineer at Tata Business Hub, building production-grade systems with Java, Spring Boot, and SQL. My work centers on API-driven architecture, backend services, database engineering, and third-party integrations that support real business workflows. I design REST APIs and distributed workflows with clear contracts, deliberate failure handling, and maintainable service boundaries. My cloud exposure includes AWS Textract, OCR-based document processing, AI pipelines, and automation across Microsoft Power Automate and Teams. I focus on performance optimization, reliability, and the operational details that keep scalable production systems predictable. I am most effective when a problem crosses application code, data, framework internals, and system integration boundaries.
- Languages: Java, Python, JavaScript, SQL
- Backend & Frameworks: Spring Boot, Spring MVC, Hibernate/JPA, REST APIs, Maven, Spring AOP
- Databases: MySQL, PostgreSQL
- Search & Messaging: Elasticsearch, Apache Kafka
- Cloud & AI: AWS Textract, AI Pipelines, OCR-based Document Processing, Microsoft Power Automate
- Architecture & Integration: JSON Processing, Third-party API Integration, Microsoft Teams Integration
- Testing & Tools: JUnit, Postman, JIRA
- Version Control: Git, SVN
| Backend systems | APIs and integrations | Data and reliability |
|---|---|---|
| Production services, distributed workflows, concurrency safety | Contract design, validation, third-party APIs, backward compatibility | Relational modeling, messaging, observability, performance analysis |
Rolling 12-month data generated directly from GitHub every day at 12:00 PM IST.
2026-10-05路 Opened pull request in apify/apify-cli2026-10-05路 Commented on issue in kuntal1461/apify-cli2026-10-05路 Closed pull request in kuntal1461/apify-cli2026-10-05路 Opened pull request in kuntal1461/apify-cli
I maintain HavocFlow, an annotation-driven chaos-engineering library for Spring Boot with WebFlux, Kafka, OpenTelemetry, and Gateway integrations. My upstream work includes Swagger Core dependency management and schema fixes, Spring AI tool-calling and session-memory corrections, OpenAI Java deserialization, and production fixes across Java and Go services. I keep contributions narrow, test-backed, and explicit about the failure mode they address.
| Project | Selected engineering contribution |
|---|---|
| swagger-api/swagger-core | Maven BOM, validation meta-annotation processing, and Java time-format support |
| spring-projects/spring-ai | Tool-context validation, evaluator feedback handling, and test clarity |
| spring-ai-community/spring-ai-session | Prevented invalid empty assistant frames during AWS Bedrock tool-call replay |
| openai/openai-java | Added robust numeric-string deserialization for organization cost responses |
| apify/apify-cli | CLI validation and JSON-input fixes with regression coverage |