Hire the Best Java Engineers

I'm a senior full-stack engineer with 𝟏𝟓+ 𝐲𝐞𝐚𝐫𝐬 of experience, including nearly a decade building at scale for 𝐀𝐩𝐩𝐥𝐞 and 𝐀𝐦𝐚𝐳𝐨𝐧. Unlike most generalists, I also build production-grade AI features. That combination is rare, and it's why clients hire me. Whether you need a scalable web application, a complex backend system, or AI/LLM capabilities woven into an existing product, I can own it end-to-end, architecture through deployment, frontend through infrastructure. 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 React + TypeScript frontends with clean component architecture, real-time updates, secure auth flows, and performance tuned for real users. Java backends (Spring Boot, WebFlux, reactive systems), Node.js/TypeScript APIs, REST & GraphQL (Apollo), microservices design, and distributed data layers across DynamoDB, SQL, and NoSQL. I build applications that are testable, maintainable, and designed for scale from day one, not patched together after the fact. 𝐀𝐈 & 𝐋𝐋𝐌 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 This is where I pull ahead. When a project calls for intelligence, a chatbot, a knowledge assistant, a RAG pipeline, automated workflows, I don't hand it off to a separate AI contractor. I build it myself, integrated cleanly into the same stack. GPT/Gemini integrations, retrieval-augmented generation, context-aware chat systems, prompt pipeline design, structured output with validation, and hallucination mitigation. AI that's engineered into the product, not bolted on. 𝐂𝐥𝐨𝐮𝐝 & 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 AWS-native architectures, Kubernetes, Helm, Docker, CI/CD pipelines, and production observability with Prometheus, Grafana, and Datadog. SLO-driven monitoring and reliable deployment workflows. Features don't matter if they're not up, I make sure they stay up. 𝐖𝐡𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐜𝐡𝐨𝐨𝐬𝐞 𝐦𝐞 𝐨𝐯𝐞𝐫 𝐨𝐭𝐡𝐞𝐫 𝐬𝐞𝐧𝐢𝐨𝐫 𝐝𝐞𝐯𝐬:: Most full-stack engineers can't touch AI. Most AI freelancers can't architect real systems. I do both, and I've done it inside two of the most demanding engineering organizations in the world. 𝐒𝐞𝐥𝐞𝐜𝐭𝐞𝐝 𝐫𝐞𝐬𝐮𝐥𝐭𝐬: At Apple, built a React + TypeScript platform for large-scale test execution, developed an AI-powered internal support chatbot, and improved system observability, cutting incident resolution time by 30% and reducing deployment time by 30%. At Amazon, migrated critical systems from Oracle to DynamoDB, reduced infrastructure maintenance by 20%, designed resilient AWS-native services, and helped launch Amazon in new international markets. 𝐈'𝐦 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐟𝐢𝐭 𝐢𝐟 𝐲𝐨𝐮 𝐧𝐞𝐞𝐝: A senior engineer who can own your product end-to-end. A full-stack application built properly, architecture-first, scalable, maintainable. AI or LLM features added to an existing product without breaking what's already there. A complex backend, a polished frontend, or both. A technical partner who ships production systems, not prototypes. 𝐇𝐨𝐰 𝐈 𝐰𝐨𝐫𝐤: Architecture-first. MVP fast, production-ready fast. Clean, testable code. Clear communication. Built for scale from day one. I don't build throwaway demos. I build systems that survive production, with or without AI. Let's talk.

⭐⭐⭐⭐⭐ Top Rated Plus on Upwork 100% Job Success Score I'm a Java developer with 8+ years delivering production-grade systems from serverless AWS architectures to distributed microservices serving healthcare and fintech clients. 𝗪𝗵𝗮𝘁 𝗜'𝘃𝗲 𝗕𝘂𝗶𝗹𝘁 ➡ As lead Java developer at my current company, managed a team of 8 engineers over 7 years — delivering 4 production systems across healthcare, fintech, and AI verticals. ➡ Designed serverless AWS infrastructure for a US longevity and healthcare platform as an AWS developer — Lambda, AppSync, DynamoDB, Cognito, SNS/SQS, Stripe, HubSpot currently in production. ➡ Led migration from monolithic Spring apps to distributed microservices — reducing deployment complexity and enabling independent scaling per service. ➡ Built a PDF/UA accessibility compliance platform as backend developer using Java 21, iText 7, PDFBox, veraPDF processing and remediating documents of hundreds of pages against international accessibility standards. ➡ Delivered an AI-powered workflow automation platform as an AI developer integrating Spring AI, Azure cloud, and automated Stripe subscription workflows. ➡ Shipped a medical practitioner dashboard integrating 3rd-party hardware APIs and clinical toolkits as backend developer and tech lead serving real patients and practitioners in production. Core experience as a Java developer and Backend developer As a Java developer with 8+ years in production systems, my core is Java 8 through Java 21 with the full Spring ecosystem Boot, Cloud, Security, WebFlux, Batch, and Spring AI for AI-integrated backends. I work across both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB, Redis) databases, selecting the right store based on access patterns not habit. As a backend developer I've optimised slow MongoDB queries to cut response times, redesigned DynamoDB access patterns for a high-throughput healthcare API, and built Redis caching layers that kept latency flat under load. As an AWS developer, my hands-on stack covers Lambda, AppSync, DynamoDB, Cognito, SQS, SNS, SES, S3, API Gateway, Route 53, and CloudFormation built and maintained in a live US healthcare platform. I design serverless pipelines end-to-end, not just deploy to them. For async workloads I wire event-driven systems using Kafka, RabbitMQ, or AWS SNS/SQS depending on durability and throughput requirements. On the container side: Docker, Kubernetes, Helm, OpenShift, Terraform, and Jenkins full IaC from infrastructure definition to CI/CD pipeline. As an AI developer, I've shipped Spring AI integrations for workflow automation backends, built document intelligence services capable of processing and remediating hundreds-of-pages PDFs against accessibility standards, and connected GraphQL APIs via AWS AppSync for mobile and web AI-driven applications. I also have production experience integrating medical hardware APIs, Stripe subscription billing, and HubSpot CRM sync into Java backends the kind of third-party integration work every backend developer eventually owns in a real product. AWS Developer & 𝗖𝗹𝗼𝘂𝗱 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 ✅ Currently operating as AWS developer on a live healthcare platform Lambda, AppSync, DynamoDB, Cognito, SQS/SNS/SES, S3, API Gateway, Route 53, CloudFormation ✅ Experience as AWS developer across serverless, containerized (ECS/K8s), and IaC (Terraform, CloudFormation) environments ✅ Also experienced across Azure (AKS, Azure DevOps) and GCP as multi-cloud backend developer ✅ Kubernetes, Helm, Docker, OpenShift, Jenkins, Terraform the full DevOps chain every AWS developer deploys through AI developer 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 ✅ Delivered AI-powered backend services as AI developer using Spring AI automated content generation and workflow orchestration at scale ✅ AWS AppSync + DynamoDB + Cognito pipeline for a live healthcare platform: the architecture an AI developer builds when latency and data integrity are non-negotiable ✅ Experienced AI developer integrating third-party AI tooling with enterprise Java backends designing event-driven pipelines that handle async AI workloads via Kafka and SQS ✅ As AI developer, built document intelligence features automated PDF tagging, structure remediation, and accessibility validation across large document corpora 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 Healthcare · Fintech · SaaS · E-commerce · Logistics · Telecom · IoT · Blockchain · Automotive · Media 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 & 𝗥𝗼𝗹𝗲𝘀 ✔ Senior Java Developer · Java Spring Boot Developer · Java Backend Developer ✔ AWS Cloud Engineer · AWS DevOps Engineer ✔ Azure Cloud Engineer · Google Cloud Engineer ✔ AI Backend Developer · Full-Stack Developer (Spring Boot + React) ✔ AI Backend Developer · Full-Stack Developer (Spring Boot + React) Need a Java developer, backend developer, AWS developer, or AI developer who ships production systems — not prototypes? Drop me a message. 04/06/2026

Hello, I am an experienced Full-Stack Developer with over 12 years in the software industry. Throughout my career, I have contributed to projects across a diverse range of industries, including E-commerce, Wellness & Fitness, EdTech, Social Media, Hospitality, Retail, Fintech, Media & Entertainment, and Refineries, among others. Here’s a brief overview of my expertise: 🔹 Backend Development: Java, Spring Boot, JPA, Spring Security, Batch Processing, REST APIs, Microservices Architecture. 🔹 Frontend Development: HTML5, CSS3, JavaScript, Angular, React.js. 🔹 Databases: PostgreSQL, MySQL, Derby, MongoDB, DynamoDB. 🔹 AWS & Cloud Services: EC2, VPC, RDS, S3, Elastic Beanstalk, Cognito, SES, CloudFormation, ECS, ELB. 🔹 Virtualization & DevOps: Docker, Docker Compose, CI/CD Pipelines, Jenkins, CircleCI, CodePipeline, Codemagic. 🔹 AI/ML & Intelligent Systems: - Generative AI Integration - OpenAI APIs / LLM Integration - AI Chatbot Development - Machine Learning Model Integration - Prompt Engineering - AI-powered Automation Solutions - NLP (Natural Language Processing) - Python for AI/ML Workflows 🔹 Development Practices: Agile Methodologies, System Design, Scalable Architecture, Performance Optimization, Secure Application Development. 📱 Full Stack Developer 🌐 Backend Developer 💻 Frontend Developer ✅ On Time Delivery ✅ Quick Response ✅ Always Online ✅ Quality Work ✅ Client Satisfaction I have had the privilege of working on a variety of solutions and am comfortable handling both existing and new projects. I have had the opportunity to assist numerous clients in achieving their business goals, and I would be delighted to support you in the same way. Thank you for taking the time to visit my profile. Feel free to reach out—whether you’d like to discuss a project, share ideas, or simply connect. I would be delighted to collaborate and explore how I can support your initiatives. Feel free to 𝗗𝗠 𝗺𝗲 𝗼𝗿 𝗶𝗻𝘃𝗶𝘁𝗲 𝗺𝗲 to your project on Upwork.

AI & Backend Architect with 18+ years building scalable systems using Java/Spring Boot, Python/FastAPI, and cloud-native microservices on AWS. I combine strong software engineering fundamentals with AI-assisted development workflows to deliver faster and safer releases. Daily toolkit includes GitHub Copilot, Claude Code, KiloCode, and Codex for code generation, refactoring, test scaffolding, and technical documentation. Key outcomes: - Reduced trade execution latency from 500ms to 100ms for a stock data platform processing 10K events/sec - Built a RAG-based AI research assistant that cut analyst research time by 60% - Led a distributed team of 8 engineers to deliver a loan management system serving 200K+ users - Designed multi-tenant SaaS backend handling 5M+ daily requests with 99.9% uptime Technical stack: Java 17, Spring Boot 3, Python, FastAPI, Golang, Node.js, PostgreSQL, MySQL, Redis, Docker, Kubernetes, AWS, OpenAI API, LangChain. If you need a senior engineer who can own a problem end-to-end, from system design to deployment, let's talk.

Senior Fullstack Software Engineer | Java, Node.js, React | CMS & IoT Expert 🚀 About Me I am a Senior Fullstack Software Engineer with 4+ years of experience in developing high-performance web applications, CMS platforms, and IoT solutions. My expertise spans across Java Spring Boot, Node.js, React, Magnolia CMS, and cloud-based architectures. I have led teams, optimized complex systems, and built scalable solutions for enterprise-level clients. 🔹 Backend: Java Spring Boot, Node.js, NestJS, Microservices, GRPC 🔹 Frontend: React.js, React Native, Headless CMS 🔹 CMS: Magnolia CMS, Liferay, WordPress 🔹 Databases: MySQL, MongoDB, SQL Server 🔹 DevOps & Cloud: Docker, Kubernetes, GitLab CI/CD, AWS 🔹 IoT & AI: Zigbee, MQTT, OpenCV, AI-based detection systems 💼 Notable Projects ✅ MMP’s CMS Website: Built a Java Spring Boot-based CMS optimized for high traffic and large datasets. ✅ Dentsu’s Headless CMS: Developed a scalable API-driven CMS using Magnolia CMS and React. ✅ Yoolife & YooIOC Applications: Smart city applications for residential and operational management. ✅ IoT Platform for Smart Devices: Developed a gateway integrating Zigbee, Z-Wave, and BLE devices with AI-powered event detection. 🔍 Why Work With Me? ✔ Proven expertise in enterprise CMS solutions & IoT systems ✔ Strong problem-solving skills in system architecture & optimization ✔ Experience leading development teams & mentoring junior engineers ✔ Passionate about building scalable, high-performance applications Let’s connect and bring your ideas to life! 🚀

⚡ 𝗧𝗵𝗲 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗯𝗲𝗵𝗶𝗻𝗱 $𝟱𝟬𝗠/𝘆𝗲𝗮𝗿 𝗶𝗻 𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝘀, 𝟱𝟬𝟬𝗞 𝘂𝘀𝗲𝗿𝘀, 𝗮𝗻𝗱 𝗔𝗽𝗽𝗹𝗲-𝗴𝗿𝗮𝗱𝗲 𝘂𝗽𝘁𝗶𝗺𝗲. Senior backend engineer (Java, Spring Boot, Python) with AI built in. 4,100+ hours, $100K+ earned, 100% Job Success, and enterprise delivery for Apple, PepsiCo, Vodafone, and Walmart. 👋 𝐇𝐢, 𝐈'𝐦 𝐆𝐨𝐩𝐚𝐥 𝐒𝐚𝐛𝐡𝐚𝐝𝐢𝐲𝐚. I've spent 13+ years in software engineering, and I've become the engineer teams trust when the backend simply cannot fail. I'm Expert-Vetted on Upwork (top 1%), Top 3% on Toptal, and a former Specialist Programmer at Infosys (their top 1%), where I built for Apple, British Petroleum, Vodafone UK, and Walmart. Right now I'm Tech Lead on a 500,000-user platform at US Pharmacopeia and a sustaining engineer on PepsiCo's GenAI ordering system through Toptal. What that means for you: you're not handing your product to someone learning on your budget. You're getting an engineer who has already shipped the hard version of what you're trying to build. ⚙️ 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗 🔹 AI-integrated backends. RAG, LLM and agent workflows, vector search, wired into real Java or Python systems with Spring AI, LangChain, and the OpenAI and Anthropic APIs. Production, not demos. 🔹 Microservices that scale. Java 17/21 and Spring Boot, brittle monoliths broken into services that hold up under load. (Recently: a Java 8 to 25 migration with zero downtime.) 🔹 SaaS and FinTech platforms. Multi-tenant, zero-trust auth, payment and ledger logic that reconciles to the cent, audit trails, and the test pipelines that keep regressions out. 🔹 Full-stack when you need it. FastAPI, Flask, React and Next.js on top, so one engineer owns the whole arc from schema to screen. 📊 𝗪𝗛𝗔𝗧 𝗜'𝗩𝗘 𝗦𝗛𝗜𝗣𝗣𝗘𝗗 (𝗔𝗡𝗗 𝗪𝗛𝗔𝗧 𝗜𝗧 𝗥𝗘𝗧𝗨𝗥𝗡𝗘𝗗) ✓ $50M a year moves through a FinTech ledger I built. 99.99% accuracy, reconciles to the cent. ✓ 500,000 users sign in through a zero-trust auth platform I architected at US Pharmacopeia. ✓ 2,500+ venues run on Bar.Stream, where a human-in-the-loop RAG engine I built replaced manual product classification, and 200+ automations replaced manual data entry. ✓ 100% invoice-parsing accuracy from an AI agent I built for MPI, manual reconciliation gone. ✓ 60% faster APIs and zero-downtime modernization for 50,000+ educators on KigaPortal. ✓ 75% more API throughput on Apple's repair backend. Few engineers can put Apple, PepsiCo, a $50M ledger, and production AI on one page. I can, and I can walk you through the architecture and the numbers behind every one. 🛠️ 𝗦𝗧𝗔𝗖𝗞 Java · Spring Boot / Cloud / Security / AI · Python · FastAPI · Node.js · RAG · LangChain · LLM + vector databases · OpenAI + Anthropic · PostgreSQL · MySQL · MongoDB · Elasticsearch · AWS · GCP · Docker · Kubernetes · CI/CD · microservices · event-driven 🌟 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 You work directly with me. Not an agency, not a rotating team, and not a junior building it while a senior name sits on the invoice. I take your idea from a rough brief to a written spec, then I build it: architecture, code, the hard parts, and the reviews. I've carried year-long builds end to end on my own, so nothing gets lost in a handoff. I keep it efficient. You get working software and a clear weekly update, not a week full of standups. I'm on a call when it actually matters, and when something is at risk you hear it from me early, before it breaks. You set direction, I run the build. 📩 𝗟𝗘𝗧'𝗦 𝗕𝗨𝗜𝗟𝗗 𝗜𝗧 Send me a short note: what you're building and where it's stuck. Within a day you'll get a straight read back, how I'd approach it, the first risk I'd kill, and the one question I'd want answered before we start. If I'm not the right engineer for it, I'll tell you that too. RAG Development#LLM Integration#Retrieval Augmented Generation#Large Language Model#AI Backend#AI-Powered SaaS#AI Backend Architecture#AI-Powered Applications#Intelligent Backends#AI Integration#AI Automation#AI Agent Development#AI Observability#Machine Learning Systems#Model Optimization#Prompt Engineering#Semantic Search#Vector Database#Vector Embeddings#Hybrid Search#Knowledge Graph#Information Retrieval#Data Pipeline#Python Backend#Java Backend#Java Microservices#Spring Boot Microservices#Spring Boot#FastAPI#Microservices Architecture#Event-Driven Architecture#Distributed Systems#Scalable Microservices#Cloud Architecture#Cloud-Native SaaS#Kubernetes Deployment#Docker Containerization#API Development#REST APIs#REST Architecture#GraphQL APIs#gRPC#API Gateway#Multi-Tenant Architecture#Multi-Tenant SaaS#B2B SaaS#Enterprise SaaS#SaaS Backend Architecture#SaaS Infrastructure#Subscription Platform#High-Performance Backend#Sub-Second Latency#Infrastructure Optimization#Latency Optimization#LLM Cost Optimization#Token Efficiency#Cost Reduction Architecture#OAuth2 Implementation#OAuth2 Authentication#JWT Authentication#RBAC Architecture#Authentication & Security#Encryption-at-Rest#SOC2