• 🔭 I’m currently working on Elavon Agent Toolkit SDK – API Reference for MCP Tool

• 🌱 I’m currently learning MCP

• 👯 I’m looking to collaborate on ACP Ecommerce POC

• 🤝 I’m looking for help with L1X ElavonX Migrator

• 👨‍💻 All of my projects are available at https://github.com/dvnharish

• 💬 Ask me about Java, Spring Boot, Hibernate, PostgreSQL, System Design, Performance Tuning, Distributed Systems, Microservices, and Backend Architecture

• 📫 How to reach me venkatworks.ca@gmail.com

14+ years of experience owning the full SDLC—from requirements analysis and system design to implementation, optimization, production support, and modernization of large-scale enterprise systems.

• Designed and governed scalable, fault-tolerant, and highly available backend architectures
• Strong ownership of non-functional requirements: performance, reliability, observability, and security
• Led architectural reviews, performance audits, and technology selection decisions

• Java 8 / 11 / 17, Spring Boot 2.x / 3.x
• Spring Data JPA, Hibernate ORM, Spring Security
• REST APIs, OpenAPI, asynchronous and reactive programming

• Advanced Hibernate ORM usage:
  • Second-level caching
  • Fetch strategies and batch processing
  • Transaction management, Criteria API, HQL optimization
• PostgreSQL expertise:
  • Schema design, indexing, partitioning
  • Query tuning using EXPLAIN ANALYZE
  • Connection pooling and high-load performance optimization

• Event-driven architectures using Kafka and Kafka Streams
• Service-to-service communication, API gateways, and BFF patterns
• Designed systems handling millions of requests and events per day

• JVM tuning, GC optimization, thread pool management
• Redis-based caching strategies (read-through, write-behind)
• SLO / SLI-driven monitoring using Prometheus, Grafana, ELK
• Resilience patterns: retries, circuit breakers, graceful degradation

• Backend integration for ML / AI models
• Asynchronous inference pipelines and workload isolation
• Data-intensive backend platforms supporting AI workflows

• JavaScript, React
• Next.js (API routes, SSR integration with backend services)
• Backend-for-Frontend (BFF) architecture design

• AWS and Azure
• Docker, Kubernetes (AKS / EKS)
• CI/CD pipelines using Jenkins and GitLab CI
• Messaging systems: Kafka, RabbitMQ

• JUnit, Mockito, REST-assured
• Performance testing with Gatling and JMeter
• Static analysis and quality gates (SonarQube)

• Principal engineer owning backend architecture, performance, and reliability
• Optimized Hibernate + PostgreSQL layers achieving 60–70% query performance improvement
• Designed platforms processing 5M+ records per day
• Integrated AI/ML workflows with asynchronous backend pipelines
• Achieved 99.99% SLA through resilience engineering and observability

• Built real-time observability platforms processing 10M+ events/day
• Designed sub-millisecond Kafka Streams processing pipelines
• Implemented high-concurrency WebFlux services (100K+ connections)
• Reduced response times by 80% using Redis caching strategies

• Decomposed monoliths into 15+ microservices
• Hibernate & SQL tuning reduced database latency by 60%
• Led adoption of TDD (90% coverage) and CI/CD pipelines
• Mentored teams on clean code and microservices best practices

• Architected ultra-low-latency IoT systems for 100K+ vehicles
• Event-driven safety alerts with p99 latency < 10ms
• Kafka + MQTT ingestion at massive scale
• Reduced infrastructure costs by 75% through serverless optimization

• Master of Technology (M.Tech) – JNTU Kakinada Research in Machine Learning-based Image Annotation Systems

I use GitHub to:

• Share architectural patterns and backend design concepts
• Experiment with performance optimization techniques
• Build developer tooling, SDKs, and backend frameworks
• Document learnings around distributed systems and AI-enabled platforms