I design and build scalable microservices using Java, Spring Boot, React, and AWS, focusing on performance, reliability, and cloud-native architecture.
Currently building
Cloud Solutions
Here are some of the projects I have worked on, showcasing my expertise in building scalable, cloud-native applications.
Quick is a scalable e-commerce platform inspired by leading marketplaces like Flipkart and Amazon. It features a modern frontend built with Next.js and Redux for seamless user experience. The backend is powered by Spring Boot with a microservices architecture, integrating Kafka for event streaming and Elasticsearch for fast search capabilities. The system uses SQL and MongoDB for data management and is deployed on AWS using EC2, S3, and Lambda. Containerization with Docker and orchestration via Kubernetes ensure scalability, while a CI/CD pipeline enables efficient and reliable deployments.
Tasker is a scalable task management system built using Next.js and Redux for a responsive frontend and Spring Boot for backend microservices. It leverages Kafka for event-driven communication and SMTP for real-time email notifications. The platform uses SQL for structured data storage and is designed to handle concurrent users efficiently with a modular and distributed architecture.
Built a lightweight AI-powered chat backend using Spring Boot, Spring AI, and Ollama, enabling interaction with locally hosted Large Language Models (LLMs) such as Llama 3. Designed and implemented RESTful APIs for real-time conversational AI interactions with stateless request handling. Integrated Ollama local inference server with Spring AI to enable offline, low-latency LLM execution without dependency on external APIs. Developed a modular service layer using Spring Boot architecture with clear separation of controller, service, and AI client integration for scalability. Configured and managed LLM inference through Spring AI abstractions, enabling easy model switching and prompt customization. Focused on privacy-first AI usage with fully local inference. Frontend support built using Next.js.
A comprehensive overview of my technical expertise, ranging from modern frontend frameworks to robust cloud-native backend architectures.
My internship experiences where I contributed to frontend and backend development, building scalable applications and improving system performance.
VhBuyio
Developed and enhanced features for the company's main product using React, focusing on responsive user interfaces, performance optimization, and improving overall user experience.
VhBuyio
Built and enhanced Spring Boot REST APIs, improved database performance through query optimization, and supported DevOps operations by automating deployments, managing CI/CD pipelines, and monitoring application infrastructure.
White Water Solutions India Pvt Ltd
Building and maintaining full-stack web applications using modern frontend and backend technologies, developing responsive user interfaces, integrating REST APIs, and contributing to scalable application architecture and performance improvements.