A production-grade enterprise banking solution with event-driven architecture

Technologies: Java | Spring Boot | Spring Cloud | Kafka | RabbitMQ | Docker | Kubernetes | PostgreSQL | MySQL | Prometheus | Grafana | Zipkin

Key Highlights:

• Built scalable microservices architecture handling 10K+ transactions/minute with 99.9% uptime
• Implemented event-driven communication using Kafka and RabbitMQ for real-time transaction processing
• Designed centralized configuration management with Config Server and Service Discovery using Eureka
• Integrated comprehensive observability stack (Prometheus, Grafana, Zipkin) for distributed tracing and monitoring
• Containerized entire platform with Docker and orchestrated deployment using Kubernetes
• Developed core banking capabilities: fund transfers, bill payments, transaction history, and fraud detection

Architecture Patterns: Microservices, Event-Driven Architecture, CQRS, API Gateway, Circuit Breaker, Service Discovery

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Enterprise-grade e-commerce solution built for cloud-native scalability

Technologies: Java 17 | Spring Boot 3.2 | Spring Cloud Gateway | Netflix Eureka | Apache Kafka | PostgreSQL | MongoDB | Redis | Elasticsearch | Docker | Kubernetes

Key Highlights:

• Architected 12+ independent microservices with auto-scaling capabilities handling millions of transactions
• Implemented resilient communication patterns using Circuit Breaker, Bulkhead, and Retry mechanisms
• Built event-driven architecture with Kafka for asynchronous order processing and real-time notifications
• Designed polyglot persistence strategy: PostgreSQL for transactions, MongoDB for catalog, Redis for caching
• Integrated OAuth2 + JWT authentication with role-based access control across all services
• Achieved 99.9% uptime through fault-tolerant design and graceful degradation strategies
• Implemented comprehensive monitoring with Prometheus, Grafana, and ELK stack for centralized logging

Architecture Patterns: Microservices, Event Sourcing, CQRS, API Gateway, Service Mesh, Distributed Tracing

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Event-driven supply chain management system with Kafka streaming

Technologies: Java | Spring Boot | Apache Kafka | Kafka Streams | Spring Cloud | MongoDB | MySQL | Redis | Docker | Kubernetes | Zipkin | Prometheus

Key Highlights:

• Developed real-time order processing pipeline handling 10K+ orders/minute with exactly-once semantics
• Implemented Kafka Streams for real-time analytics and order tracking dashboards
• Built fault-tolerant microservices ecosystem with Eureka service discovery and Spring Cloud Config
• Reduced order processing latency by 70% through event sourcing and asynchronous communication patterns
• Designed comprehensive observability with distributed tracing (Zipkin) and centralized logging (ELK)
• Integrated Circuit Breaker patterns for resilient inter-service communication
• Containerized services with Docker and deployed on Kubernetes with auto-scaling configurations

Architecture Patterns: Event-Driven Architecture, Event Sourcing, Microservices, Service Discovery, Circuit Breaker

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Scalable healthcare management platform with gRPC and event-driven architecture

Technologies: Java 17 | Spring Boot | gRPC | Protocol Buffers | Apache Kafka | PostgreSQL | Docker | Spring Cloud Gateway | JWT Authentication

Key Highlights:

• Built high-performance healthcare platform using gRPC for synchronous inter-service communication
• Achieved 40% reduction in network overhead compared to REST APIs through Protocol Buffers
• Implemented bi-directional streaming with gRPC for real-time patient data updates and billing notifications
• Designed event-driven architecture with Kafka for asynchronous analytics and audit logging
• Integrated Spring Cloud Gateway as API gateway with JWT-based authentication and authorization
• Developed modular services: patient management, billing operations, analytics, and authentication
• Containerized entire system with Docker Compose for consistent development and production environments

Architecture Patterns: Microservices, gRPC Communication, Event-Driven Architecture, API Gateway, JWT Authentication

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I'm a Senior Software Engineer specializing in Java/Python Backend Architecture, Microservices, and AI/ML Integration with 6+ years of experience building enterprise-grade distributed systems. I architect scalable, event-driven platforms that process millions of transactions daily while maintaining 99.9%+ uptime.

Backend & Microservices Architecture

• Designing and implementing production-ready microservices ecosystems with Java and Spring Boot
• Building event-driven architectures using Kafka, RabbitMQ, AWS SQS, and GraphQL
• Developing scalable REST APIs and asynchronous processing pipelines
• Implementing resilience patterns: Circuit Breaker, Bulkhead, Retry, and Timeout strategies
• Managing full API lifecycle from design to deployment with API Gateway patterns

Event-Driven & Asynchronous Systems

• Expert in Apache Kafka for real-time data streaming and event sourcing
• Building event-driven integrations with RabbitMQ, AWS SQS, and message-driven microservices
• Implementing CQRS and Event Sourcing patterns for scalable data management
• Designing asynchronous processing workflows for high-throughput applications

AI/ML & Generative AI Integration

• Integrating LLMs and GenAI models into production backend systems
• Building AI-powered automation and agentic integrations for business process enhancement
• Implementing RAG (Retrieval-Augmented Generation) architectures with vector databases
• Fine-tuning LLMs for domain-specific applications and prompt engineering
• Leveraging AI-assisted coding tools (Cursor, GitHub Copilot, Windsurf) for accelerated development
• Understanding of responsible AI practices, data privacy, governance, and model evaluation

Python for Data Engineering & AI/ML

• Building data pipelines and ETL workflows for ML model training and inference
• Developing Python-based microservices for AI/ML model serving and integration
• Working with TensorFlow, PyTorch, and scikit-learn for ML model development
• Creating RESTful APIs with FastAPI and Flask for AI/ML services

Cloud-Native & DevOps

• Containerization with Docker and orchestration with Kubernetes
• Implementing CI/CD pipelines with GitHub Actions, Jenkins, and automated deployments
• Cloud architecture on AWS (preferred), with experience in Azure and GCP
• Infrastructure as Code (IaC) with Terraform and configuration management

Database & Caching

• Polyglot persistence: PostgreSQL, MongoDB, MySQL, Redis
• Database optimization, query tuning, and indexing strategies
• Distributed caching strategies for high-performance applications

Languages & Frameworks

• Primary: Java 17+, Spring Boot, Spring Cloud, Spring Security
• Secondary: Python, FastAPI, Flask
• Messaging: Apache Kafka, RabbitMQ, AWS SQS, GraphQL subscriptions
• Communication: gRPC, Protocol Buffers, REST APIs, WebSockets

AI/ML & GenAI

• LLM Integration: OpenAI GPT, Claude, LangChain, LlamaIndex
• ML Frameworks: TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers
• Vector Databases: Pinecone, Weaviate, ChromaDB
• AI Tools: Cursor, GitHub Copilot, Windsurf, Amp
• RAG & Fine-tuning: Prompt engineering, model fine-tuning, embedding strategies

Event-Driven & Async

• Kafka Streams, Kafka Connect, Event Sourcing, CQRS
• Asynchronous processing with CompletableFuture, Reactive Streams
• Message-driven architectures with Spring Cloud Stream

Microservices & Architecture

• Spring Cloud Gateway, Netflix Eureka, Resilience4j
• API Gateway patterns, Service Discovery, Circuit Breakers
• Distributed tracing with Zipkin, Jaeger
• Centralized configuration with Spring Cloud Config

Databases & Storage

• PostgreSQL, MongoDB, MySQL, Redis, Elasticsearch
• Database sharding, replication, and distributed transactions
• Vector databases for AI/ML applications

DevOps & Cloud

• Docker, Kubernetes, Helm, Terraform
• CI/CD: GitHub Actions, Jenkins, GitLab CI
• AWS (preferred): EC2, ECS, Lambda, S3, SQS, API Gateway
• Monitoring: Prometheus, Grafana, ELK Stack

• Microservices Mastery: Proven track record of architecting and deploying 12+ microservices platforms with 99.9% uptime
• Event-Driven Excellence: Expert in Kafka-based streaming architectures processing 10K+ events/minute
• AI Integration Specialist: Hands-on experience integrating GenAI and LLMs into production backend systems
• Performance Optimization: Achieved 40% reduction in network overhead with gRPC and 70% reduction in processing latency
• Full API Lifecycle: End-to-end API design, development, security, monitoring, and optimization
• Responsible AI Advocate: Deep understanding of AI governance, data privacy, and ethical AI practices
• Rapid Learner: Quick to adapt to emerging AI tools and integration technologies

6+ Years Remote Engineering Experience

• Led distributed teams across multiple time zones
• Architected mission-critical systems for finance, healthcare, e-commerce, and SaaS domains
• Delivered enterprise-grade solutions processing millions of transactions daily

AI-Powered Development

• Early adopter of AI-assisted coding tools (Cursor, GitHub Copilot, Windsurf)
• Reduced development cycle time by 30%+ through intelligent code generation
• Built agentic integrations that automate complex business workflows

Cloud-Native Advocate

• Containerized 100+ microservices with Docker
• Orchestrated Kubernetes deployments with auto-scaling and self-healing
• Implemented infrastructure as code for reproducible environments