Senior Backend Engineer with 8+ years of experience designing and building scalable data platforms, graph-based systems, and distributed backend architectures.

🔧 Java | Spring Boot | GraphQL | Neo4j
🏢 Morgan Stanley
🌱 Exploring Offline AI Systems

• Design and build scalable backend systems for data-intensive applications
• Develop GraphQL-based aggregation layers to unify multiple heterogeneous data sources
• Model complex relationships using graph databases (Neo4j)
• Architect microservices and event-driven systems for decoupled and maintainable platforms
• Optimize data access patterns and query execution for large-scale systems

I approach system design with a strong focus on:

• Scalability → Systems that handle growing data and traffic without degradation
• Composability → Modular services that evolve independently
• Data Modeling → Choosing the right paradigm (Graph vs Relational vs NoSQL)
• Efficiency → Reducing redundant calls and optimizing query paths

"A well-designed data model eliminates more complexity than any optimization layer."

• Build data aggregation layers to simplify client interactions
• Use GraphQL to eliminate over-fetching and reduce API fragmentation
• Prefer event-driven architecture for decoupled system communication
• Focus on data access optimization (query design, batching, indexing)
• Solve performance problems at system design level, not just code level

• Contributing to a graph-based platform for analyzing application dependencies and security patterns at scale
• Designing backend services integrating Stardog, Snowflake, and PostgreSQL
• Building data aggregation pipelines for complex relationship analysis
• Improving performance of data access layers through query optimization and efficient data modeling
• Participating in architecture discussions and contributing to system design decisions

• Developed backend systems for high-volume fintech platforms managing funds and investment workflows
• Built services using Java, Python, and AWS for scalable data processing
• Integrated MySQL, Oracle, and DynamoDB for reliable multi-source data handling
• Delivered reporting and audit solutions aligned with business and compliance requirements

• Led backend development for Identity & Access Management (IAM) and governance systems
• Designed GraphQL-based aggregation services across Neo4j, PostgreSQL, Oracle, and Cassandra
• Built microservices and workflow-driven systems for access control and approvals
• Implemented scheduler-based processing (Quartz) and event-driven communication (ActiveMQ)
• Mentored developers and contributed to architecture and design decisions

Designed a backend system to aggregate data from multiple heterogeneous data sources into a unified GraphQL API.

Key Contributions:

• Designed a multi-database abstraction layer for seamless querying across systems
• Implemented resolver strategies with batching to mitigate N+1 query problems
• Optimized query execution for high-volume and relationship-heavy data
• Reduced client complexity by centralizing data fetching logic

Built backend systems for managing identity access, approvals, and governance workflows.

Key Contributions:

• Designed REST APIs and workflow-driven approval systems
• Implemented scheduler-based processing using Quartz for periodic tasks
• Built event-driven communication using ActiveMQ
• Integrated IAM systems with governance workflows for real-time access control

Client  
  ↓  
GraphQL API  
  ↓  
Resolver Layer (Batching + Optimization)  
  ↓  
----------------------------------------  
| Neo4j | PostgreSQL | Oracle | Cassandra |  
----------------------------------------  
  ↓  
Aggregation Layer  
  ↓  
Unified Response  

• Data distributed across graph and relational databases
• Multiple API calls required from clients
• High latency and fragmented data access

• Designed a GraphQL-based aggregation layer
• Centralized and optimized data fetching logic
• Applied resolver-level optimizations to improve performance

• Reduced redundant data calls and improved response efficiency
• Simplified client interaction with backend systems
• Improved maintainability of multi-source data workflows

• Enables quick search directly from editor using keyboard shortcuts
• Built using TypeScript

• Angular Material-based UI component with 50+ stars
• Designed for reusable and modular UI integration

• Developed during ISRO collaboration
• Backend system using PHP and MySQL

• Offline AI systems
• Efficient small language models
• Privacy-first architectures

• LinkedIn: https://linkedin.com/in/ravirajpurohit
• Email: ravirajpurohit29@gmail.com