Backend Engineer focused on performance and system optimization

Architecting High-Performance Backend Systems.

I build the mission-critical infrastructure that powers industrial automation. Specializing in Spring Boot and deep SQL optimization, I turn complex hardware integrations and performance bottlenecks into near real-time processing systems.

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Engineering Impact

Real-world problem solving and system optimization at enterprise scale.

Coromandel System

Backend Developer – System Architecture Focus

Enterprise Raw Material Management System

The Challenge

Fragmented raw material tracking causing supply chain bottlenecks, high manual data entry error rates, and disconnected SAP and hardware systems.

The Architecture

Designed a resilient Spring Boot ecosystem to act as the central orchestration layer. Orchestrated seamless integrations between distributed RFID arrays, automated weighbridge data streams, and core SAP modules.

Before vs After

Before: Heavy latency in stock reconciliation & manual overhead. After: Fully automated workflow eliminating manual intervention from vehicle entry to SAP GRN posting. Significantly reduced processing latency.
Spring Boot SAP Integration Hardware Pub/Sub PostgreSQL

Next-Gen WMS

Performance Engineer

High-Concurrency Warehouse Management System

The Challenge

High-concurrency inventory operations causing database lock contentions, sluggish GRN processing, and slow Putaway algorithms during peak shifts.

The Architecture

Re-engineered the persistence layer and state management. Implemented advanced SQL query optimization, strategic indexing, and intelligent connection pooling for real-time stock tracking.

Before vs After

Before: Complex calculations caused significant system drag and deadlocks. After: Query execution times slashed by 80%. Effortlessly handles peak loads with significantly reduced deadlocks and high inventory accuracy.
Spring Data JPA Advanced SQL Concurrency Algorithm Design

Edge-to-Cloud RFID

Backend Developer

Vehicle Tracking Automation Pipeline

The Challenge

Tracking hundreds of vehicles in real-time across multiple facility checkpoints without human intervention, ensuring strict exact-once processing.

The Architecture

Built a high-throughput ingestion pipeline to process continuous streams of RFID events. Implemented intelligent debouncing, caching layers, and fault-tolerant event sourcing.

Before vs After

Before: Vehicles delayed at gates due to manual logging and slow verification. After: Zero-friction movement. Processing thousands of daily scans with high system reliability under continuous load, radically accelerating throughput.
Event-Driven Redis Microservices IoT Integration

Weighbridge Automation

Systems Integrator

Hardware-to-Software Bridge

The Challenge

Integrating legacy serial-based weighbridge hardware with modern web systems while guaranteeing absolute transactional integrity to prevent fraud.

The Architecture

Developed a rock-solid bridging service that safely captures, parses, and validates weight data streams in real-time before syncing with the central ERP.

Before vs After

Before: Vulnerable to human error and data manipulation; slow processing. After: Secure, fully automated weight processing. Reduced vehicle processing time from minutes to seconds.
TCP/IP Sockets Java 17 Data Integrity API Design

Technical Arsenal

Tools and paradigms I use to build robust, scalable platforms.

Core Infrastructure

  • Java 17+ / J2EE
  • Spring Boot ecosystem
  • Spring Security & OAuth2
  • RESTful API Architecture
  • Microservices Design

Data & Persistence

  • PostgreSQL & MySQL
  • Deep SQL Optimization
  • Hibernate / Spring Data JPA
  • Database Indexing Strategy
  • Transaction Management

System Design

  • Event-Driven Architecture
  • High Concurrency Handling
  • Clean Code & SOLID Principles
  • Performance Profiling
  • Caching Strategies (Redis)

Integration

  • SAP ERP Integration
  • Hardware Protocols (RFID)
  • Message Brokers (RabbitMQ/Kafka)
  • Weighbridge Interfacing
  • CI/CD Pipelines