Senior Software Engineer with extensive experience in Microservices architectures, contributing to enterprise-level projects at organizations including Fannie Mae, IBM, Fidelity, NFCU, Cisco, and Harvard University.
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Microservices Expert: Proficient in Python, Go, Docker, Kubernetes with Helm, AWS Cloud (ECS, DynamoDB, S3), Java 17+, Spring Boot, and Reactive Java, specializing in event-driven architectures.
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Cloud Architecture Specialist: Well-versed in AWS and Azure cloud services, Serverless Architecture, Event-Driven Architecture, API Gateway, Outbox with Reconciliation, CQRS, and Saga Pattern for building robust, scalable cloud systems.
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Technical Foundation: Strong understanding of CAP and PACLEC theorems, ACID vs BASE, REST, OOD, JEE and GOF design patterns, and SOA-based architecture. Committed to SOLID principles (SRP, OCP, LSP, ISP, DIP) and KISS for maintainable solutions.
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AI Engineering: Building Agentic AI Systems with RAG (Retrieval-Augmented Generation), LangChain, LlamaIndex, and vector databases like Pinecone to create context-aware AI applications.
- Contributed to Desktop Underwriter® - transforming SOA to Event-Driven and Distributed architecture
- Implemented Document First Rest service with Python for Key Rotation using concurrent futures, slots, and list comprehension
- Designed cloud-native applications leveraging AWS serverless technologies (ECS, Lambda, S3, DynamoDB)
- Implemented resilience patterns with Resilience4J (Circuit Breaker, Retry, Rate Limiting, Bulkhead)
- Developed asynchronous, reactive applications using Spring WebFlux with Reactor (Mono, Flux)
- Utilized Envoy as a sidecar proxy for advanced traffic management and observability
- Modernized legacy SOAP/REST APIs to Azure-based Spring Boot applications
- Designed and implemented loosely coupled, independently deployable microservices
- Leveraged Azure cloud services and DevOps for CI/CD pipelines
- Integrated KeyCloak server for OAuth2 and JWT token authorization
- Developed APIs for Account Dividend and Interest Inquiry, and Debit Card Activation
- Agentic AI Workflow System: Built a personal workflow system leveraging LlamaStack and RAG for enhanced document understanding
- Secure RAG Pipeline: Developed a pipeline using Pinecone vector database for domain-specific knowledge bases
- Semantic Search Optimization: Implemented token-based chunking strategies and optimized semantic search
- Performance Optimization: Applying profiling tools (cProfile, memory_profiler) to enhance Python applications
- ML & Data Visualization: Building projects with PyTorch, Scikit-Learn, Hugging Face, Pandas, and Dash
⭐️ From skvs2005