Freelancers using Spring Boot

Freelancers using Spring BootFreelancers using Spring Boot

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Bengaluru, India

Java Engineer Building AI Automations & Integrations

New to Contra

Java Engineer Building AI Automations & Integrations

Cover image for AI Document Intelligence & Invoice

AI Document Intelligence & Invoice Processing Platform Description Built an AI-powered document intelligence platform designed to automate invoice processing, document classification, data extraction, and approval workflows. The system uses AI, OCR, and workflow automation to process business documents automatically, eliminating manual data entry and reducing processing delays across finance and operations teams. By integrating with existing databases and business systems, the platform transforms unstructured documents into actionable business data. Key Features • AI-powered document analysis • Invoice data extraction • OCR-based document processing • Automated approval workflows • Purchase order matching • Vendor management integration • Document classification • Data validation system • Real-time processing dashboard • Automated reporting and audit trails Business Impact ✓ Reduced manual data entry ✓ Faster invoice processing ✓ Reduced processing errors ✓ Improved financial visibility ✓ Faster approval cycles ✓ Reduced operational costs ✓ Increased productivity across teams Technology Stack • Java • Spring Boot • PostgreSQL • OpenAI API • OCR Processing • REST APIs • Workflow Automation • Analytics Dashboard Results • Automated document processing workflows • Reduced invoice processing time by approximately 75% • Improved data accuracy • Reduced manual administrative effort • Accelerated approval and payment cycles This solution demonstrates how AI-powered document intelligence can automate finance and operational processes while improving accuracy, compliance, and efficiency.

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Cover image for AI Lead Enrichment & CRM

AI Lead Enrichment & CRM Automation Platform Built an AI-powered lead enrichment and CRM automation platform designed to help sales teams identify high-quality prospects, enrich lead data automatically, and streamline outreach workflows. The platform combines AI, external data sources, CRM systems, and workflow automation to reduce manual research while improving lead quality and sales efficiency. Key Features • Automated lead enrichment • Company and contact research • AI-generated personalized outreach emails • CRM synchronization • Lead scoring system • Sales pipeline automation • Contact validation • Automated follow-up workflows • Multi-source data aggregation • Analytics and performance tracking Business Impact ✓ Reduced manual lead research ✓ Increased sales team productivity ✓ Improved lead quality ✓ Faster prospect qualification ✓ Higher outreach efficiency ✓ Better CRM data accuracy ✓ Increased pipeline visibility Technology Stack • Java • Spring Boot • PostgreSQL • OpenAI API • REST APIs • CRM Integrations • Workflow Automation • Analytics Dashboard Results • Reduced lead research time by approximately 80% • Automated prospect enrichment process • Improved CRM data quality • Increased sales team efficiency • Faster lead qualification workflows This solution demonstrates how AI can automate prospect research, improve lead quality, and accelerate sales operations.

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Cover image for AI Customer Support Assistant
Built an

AI Customer Support Assistant Built an AI-powered customer support platform designed to automate customer interactions, reduce support workload, and provide instant assistance using company documentation and knowledge base content. The system leverages OpenAI, enterprise knowledge bases, and backend automation to deliver accurate, context-aware responses while seamlessly escalating complex issues to human agents when needed. Key Features: • OpenAI-powered conversational assistant • Knowledge base search and retrieval • FAQ automation system • Context-aware customer responses • Human escalation workflow • Multi-channel support integration • Customer interaction analytics • Real-time response monitoring • REST API architecture • Enterprise-grade backend services Business Impact: ✓ Reduced repetitive support workload ✓ Faster customer response times ✓ 24/7 automated customer assistance ✓ Improved customer satisfaction ✓ Consistent support experiences ✓ Lower operational costs ✓ Increased support team efficiency Technology Stack: • Java • Spring Boot • PostgreSQL • OpenAI API • REST APIs • Docker • Maven • Knowledge Base Integration Results: • Automated approximately 80% of common support requests • Reduced average response time from hours to seconds • Reduced manual support workload by approximately 60% • Improved scalability without increasing support staff This solution demonstrates how AI-powered customer support systems can improve customer experience while significantly reducing operational overhead.

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Cover image for AI Business Operations Automation Suite
Built

AI Business Operations Automation Suite Built a centralized AI-powered automation platform designed to streamline internal business operations and eliminate repetitive manual work. The system automates workflows across departments including operations, finance, customer support, reporting, and administration. By integrating AI, APIs, databases, and business tools, the platform significantly reduces operational overhead while improving efficiency and accuracy. Key Features: • Automated invoice processing • AI-powered document analysis • Internal workflow automation • Approval and task management system • Automated report generation • Email and notification automation • CRM and database integration • Real-time analytics dashboard • Role-based access control • Custom business process automation Business Impact: ✓ Reduced manual operational workload ✓ Faster processing of business tasks ✓ Improved team productivity ✓ Reduced human errors ✓ Centralized operational visibility ✓ Scalable automation infrastructure Technology Stack: • Java • Spring Boot • PostgreSQL • OpenAI API • REST APIs • Workflow Automation • Dashboard Analytics This solution demonstrates how AI and automation can transform traditional business operations into efficient, scalable, and data-driven workflows.

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Java Backend Engineer building scalable cloud systems

New to Contra

Java Backend Engineer building scalable cloud systems

Cover image for URL Shortener + Analytics 🔗
Designed

URL Shortener + Analytics 🔗 Designed and developed a production-grade URL shortening platform that transforms long URLs into secure, shareable short links while providing powerful real-time analytics and performance insights. The platform enables users to create custom short URLs, monitor click activity, analyze visitor behavior, and manage thousands of links through an intuitive dashboard. Built using a cloud-native, event-driven architecture, it delivers high availability, low-latency redirects, and scalable analytics processing for enterprise-scale applications. 🧑‍💻 What I built: • Generate secure and unique short URLs • Custom aliases and branded short links • Real-time click tracking and analytics • Geographic and device-based insights • Browser and operating system analytics • Referrer and traffic source tracking • QR code generation for every short URL • Link management dashboard • Search, filter, and organize links • REST APIs for seamless integration 🧠 Engineering Highlights • Implemented high-speed redirects using Redis caching • Asynchronous analytics processing with Apache Kafka • Designed a scalable event-driven architecture for millions of requests • Optimized database performance with indexing and query tuning • Secure authentication using Spring Security and JWT • Built RESTful APIs following clean architecture principles • Cloud-ready deployment with Docker and AWS • Enterprise-grade architecture focused on scalability, reliability, and maintainability 🛠️ Tech Stack: Java 21 • Spring Boot • PostgreSQL • Redis • Apache Kafka • REST APIs • Spring Security • JWT • Docker • AWS • OpenAPI/Swagger Status: Completed ✅

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Cover image for Task Management System 🚀
Designed and

Task Management System 🚀 Designed and developed a modern task management platform that helps teams plan, organize, collaborate, and track work in real time. The application streamlines project execution through intuitive task management, Kanban workflows, team collaboration, reporting, deadline tracking, and real-time notifications. Built with a cloud-native architecture, it provides a secure, scalable, and high-performance solution that enables organizations to manage multiple projects, improve team productivity, and monitor progress from a centralized dashboard across desktop and mobile devices. 🧑‍💻 What I built: • Project and workspace management • Task creation, assignment, and prioritization • Kanban board and list-based workflows • Team collaboration and member management • Real-time dashboard and analytics • Calendar and deadline management • File attachments and task comments • Activity timeline and audit history • Role-based access control (RBAC) • Real-time notifications and alerts • Responsive web and mobile interface 🧠 Engineering Highlights • Designed a scalable microservices-based architecture for enterprise workloads • Optimized dashboard queries using caching and efficient database indexing • Built real-time collaboration using event-driven communication • Implemented secure authentication with Spring Security and JWT • Developed modular RESTful APIs following clean architecture principles • Containerized the application using Docker for consistent deployments • Cloud-ready architecture optimized for AWS infrastructure • Built for horizontal scalability, maintainability, and high availability 🛠️ Tech Stack: Java 21 • Spring Boot • React • PostgreSQL • Redis • REST APIs • Spring Security • JWT • Docker • AWS • OpenAPI/Swagger Status: Completed ✅

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Cover image for Rate Limiter as a Service

Rate Limiter as a Service ⚡ Designed and developed a production-grade Rate Limiter as a Service that protects APIs from abuse, controls request traffic, and ensures fair resource utilization across distributed applications. The platform enables developers to define flexible rate limiting policies, monitor API consumption in real time, and enforce request quotas with minimal latency. Built using a cloud-native architecture, it supports multiple rate limiting algorithms, horizontal scaling, and high availability, making it suitable for modern microservices and enterprise API platforms. 🧑‍💻 What I built: • API key, client, user, and IP-based rate limiting • Configurable rate limiting policies • Sliding Window, Fixed Window, and Token Bucket algorithms • Real-time request monitoring dashboard • Client usage analytics and reporting • Rate limit utilization tracking • Alert management for unusual traffic • REST APIs for policy administration • Secure API authentication and authorization • Responsive web dashboard for monitoring and management 🧠 Engineering Highlights • Built a distributed rate limiting system using Redis for high-speed request tracking • Designed stateless services for horizontal scalability across multiple instances • Optimized request validation with low-latency in-memory operations • Implemented configurable throttling strategies for different client requirements • Secure authentication using Spring Security and JWT • Cloud-ready deployment with Docker and AWS • Fault-tolerant architecture with graceful degradation during high traffic • Production-ready modular architecture following clean coding principles 🛠️ Tech Stack: Java 21 • Spring Boot • Redis • PostgreSQL • REST APIs • Spring Security • JWT • Docker • AWS • OpenAPI/Swagger Status: Completed ✅

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Cover image for Social Feed Platform 🌐
Designed and

Social Feed Platform 🌐 Designed and developed a modern social networking platform that enables users to connect, share content, engage with communities, and communicate in real time. The application provides personalized news feeds, user profiles, post creation, social interactions, trending content discovery, and instant notifications through a responsive and intuitive interface. Built using a cloud-native architecture, it delivers high performance, security, scalability, and a seamless user experience across desktop and mobile devices. 🧑‍💻 What I built: • User registration and secure authentication • Personalized user profiles • Create, edit, and delete posts • Like, comment, and share functionality • Follow and unfollow users • Personalized social feed • Trending hashtags and content discovery • User and post search • Real-time notifications using WebSocket • Responsive web and mobile interface 🧠 Engineering Highlights • Designed with a scalable microservices architecture • Real-time communication using WebSocket • Optimized data retrieval with Redis caching • Secure authentication using JWT and Spring Security • RESTful APIs with clean layered architecture • Cloud-ready deployment using Docker and AWS • High-performance backend built for enterprise-scale workloads • Production-ready architecture with modular and maintainable codebase 🛠️ Tech Stack: Java 21 • Spring Boot • React • PostgreSQL • Redis • WebSocket • REST APIs • Spring Security • JWT • Docker • AWS Status: Completed ✅

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Backend Engineer | Workflow, Architecture & API Integration

6: Followers

Backend Engineer | Workflow, Architecture & API Integration

Cover image for From a Business Proposal to a Buildable Backend System

From a Business Proposal to a Buildable Backend System

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Cover image for Payment Lifecycle Integration Backend

Payment Lifecycle Integration Backend

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Cover image for AI-Assisted Decision Workflow for Reliable Operations

AI-Assisted Decision Workflow for Reliable Operations

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Cover image for Explainable Decision Engine for Rule-Driven Systems

Explainable Decision Engine for Rule-Driven Systems

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Stockholm, Sweden

Expert Backend Engineer | Java, Spring Boot, Cloud

Expert Backend Engineer | Java, Spring Boot, Cloud

Cover image for Pay-by-parts system

Pay-by-parts system

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Cover image for Anti money laundry/know your customer application for Finance

Anti money laundry/know your customer application for Finance

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Cover image for Cloud based product for managing metadata in media

Cloud based product for managing metadata in media

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Growth is the only constant to achieve Perfection

Growth is the only constant to achieve Perfection

Cover image for Technical Mock interviews and coaching for big firms

Technical Mock interviews and coaching for big firms

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Cover image for Java Project and Bug Fixing

Java Project and Bug Fixing

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Cover image for Java Application Project

Java Application Project

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Marvellous Adekunle

Ibadan, Nigeria

Backend Engineer building secure, scalable APIs and transact

9: Followers

Backend Engineer building secure, scalable APIs and transact

Cover image for Taskify API

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Cover image for TravelNest - Hotel Booking Backend System Development

TravelNest - Hotel Booking Backend System Development

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Cover image for ArionWallet Backend System Development

ArionWallet Backend System Development

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Cover image for Development of Scalable Backend for Creator Economy Platform

Development of Scalable Backend for Creator Economy Platform

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Yogesh Penurkar

Expert Programming Tutor for Java & Python

Expert Programming Tutor for Java & Python

Cover image for Supply chain risk analysis tool

Supply chain risk analysis tool

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Cover image for Telecom based Customer Onboarding web app

Telecom based Customer Onboarding web app

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Cover image for Online Small Loan Financial Services WebApp

Online Small Loan Financial Services WebApp

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Gurugram, India

Senior Backend Engineer specializing in Java Spring Boot

Senior Backend Engineer specializing in Java Spring Boot

Cover image for WhatsApp Chatbot for E-Commerce Customer Support

WhatsApp Chatbot for E-Commerce Customer Support

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Cover image for Visitor and Apartment Management System (Similar to MyGate)

Visitor and Apartment Management System (Similar to MyGate)

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Cover image for Loan Management System for NBFC

Loan Management System for NBFC

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