Work Experience
- Building and enhancing backend services using Java 17, Spring Boot, and Spring WebFlux, with a strong focus on scalable APIs, clean architecture, and maintainable code.
- Developing event-driven solutions with Apache Kafka to enable reliable communication between distributed services and improve system scalability.
- Working with Apache Spark, BigQuery, and Databricks to process large-scale datasets and support data-driven business applications.
- Integrating Vertex AI into enterprise workflows to build AI-powered features and improve automation across internal applications.
- Collaborating with cross-functional teams to troubleshoot production issues, optimize application performance, participate in code reviews, and deliver features through Agile development practices.
Java
Spring Boot
Microservices
React JS
Spark
Kafka
MongoDB
Databricks
BigQuery
Gen AI
Agentic AI
LLM Integration
Cloud (Azure & GCP)
- Built horizontally scalable backend services across 8+ microservices, optimizing request handling to sustain high concurrency with sub-200ms response times.
- Implemented Spring Security, OAuth2, and RBAC with Entra ID for JWT authentication and fine-grained authorization.
- Centralized API management using Azure APIM, enforcing strict routing, authentication, and rate-limiting policies.
- Orchestrated distributed transactions using the SAGA pattern and Resilience4J circuit breakers for fault tolerance.
Java
Spring Boot
Spring Security
OAuth2
Azure APIM
Resilience4J
REST APIs