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Experienced Atlassian addon developer with proficiency in both Server (Java-based) and Cloud (React.js/Forge based) development, specializing in designing and developing addons that seamlessly integrate with Atlassian tools like Jira and Confluence. With over 7 years of experience in full-stack web development, and 5 years in the Atlassian ecosystem, I have developed a strong expertise in Java, Spring Boot, Hibernate, and modern JavaScript frameworks such as Next.js, Nest.js. I have built several addons in the Atlassian Marketplace that have helped my clients improve their productivity, enhance their workflows, and streamline their processes: ➡️ Votazz Apps [ marketplace.atlassian.com/vendors/1219338 ] ➡️ Raledo Apps [ marketplace.atlassian.com/vendors/1221179 ] ➡️ Advanced Table [ marketplace.atlassian.com/apps/1220950 ] ➡️ TimeCamp [ marketplace.atlassian.com/apps/1219229 ] ➡️ Mail page [ marketplace.atlassian.com/apps/1214285 ] ➡️ ContextQA [ marketplace.atlassian.com/apps/1229465 ] My deep understanding of Jira/Confluence REST APIs and SDKs for both Cloud and Server versions allows me to develop addons that meet the unique needs of each client. Whether it's building custom business workflows, designing custom forms and UIs, or developing integrations with other tools, I have the expertise to deliver high-quality solutions that exceed expectations. In addition, I can help you with the Atlassian Data Center submission and approval process, which is strictly rigorous: ✅Review your addon and ensure that it meets the Atlassian Data Center requirements ✅Help you create a Data Center app submission package, including required documentation and supporting materials ✅Advise you on best practices for app testing, including performance, stress, and scalability testing ✅Assist with configuring and testing your app in a Data Center environment ✅Help you identify and address any security vulnerabilities or performance issues in your app ✅Assist with filling out and submitting the Data Center app submission form ✅Provide ongoing support and assistance during the review and approval process ✅Help you address any feedback or issues raised during the review process Let’s get your next innovative addon product built and published into the Atlassian Marketplace 🚀

I help organizations architect, modernize, and scale enterprise software platforms and AI-driven solutions that power business-critical operations. Over the past 20+ years, I have architected and delivered enterprise-scale software platforms across Healthcare, Banking, Telecommunications, Aviation, Education, Government, Logistics, and Retail—helping organizations build systems that remain reliable, scalable, and maintainable as they grow. My role extends beyond implementation. I work closely with founders, CTOs, and engineering leaders to evaluate architectural trade-offs, reduce technical risk, define technology strategy, and guide products from concept through production deployment. 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 ▔▔▔▔▔▔▔ 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: ➜ Agentic AI ➜ Retrieval-Augmented Generation (RAG) ➜ Natural Language to SQL (NL2SQL) ➜ LLM Integration & Prompt Engineering ➜ AI Assistants & Enterprise Knowledge Platforms ➜ Intelligent Document Processing (IDP) ➜ Recommendation & Personalization Engines ➜ Predictive Analytics & Workflow Automation 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: ➜ Enterprise Web Applications ➜ SaaS Platforms ➜ Full-Stack Architecture ➜ Microservices & REST APIs ➜ Cloud-Native Applications ➜ Database Architecture & Optimization ➜ Authentication & Security ➜ Workflow & Business Process Automation ➜ System Integration 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 ▔▔▔▔▔▔▔▔▔▔▔▔▔▔ The majority of these platforms were designed for high-volume enterprise environments, requiring scalable architectures, complex business workflows, secure integrations, and long-term maintainability. 𝗥𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝘃𝗲 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 & 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀: ➜ Enterprise NL2SQL Intelligent Query Platform ➜ Retrieval-Augmented Generation (RAG) Knowledge Assistant ➜ AI Recommendation & Personalization Platform ➜ Intelligent Invoice Processing & Automation Platform ➜ Resume Screening & Candidate Evaluation Platform ➜ Fraud Detection & Transaction Monitoring System ➜ Enterprise Workforce Planning Platform ➜ University Inventory & Material Management Platform ➜ Warehouse Management System ➜ Transport Management System ➜ OrbitView – AI-Powered Geospatial Intelligence Platform 𝗖𝗼𝗿𝗲 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 ▔▔▔▔▔▔▔▔▔ 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Python | OpenAI | Claude | Gemini | LangChain | TensorFlow | Keras | Scikit-learn | Vector Databases | Graph Databases 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: FastAPI | Spring Boot | Node.js | Java | .NET | REST APIs | Microservices 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: React | Next.js | TypeScript | JavaScript | Material UI | OpenLayers 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: PostgreSQL | SQL Server | MySQL | Oracle | MongoDB 𝗖𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀: AWS | Azure | Docker | Kubernetes | Git | CI/CD 𝗪𝗵𝗮𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗩𝗮𝗹𝘂𝗲: ➜ Architecture-first thinking that reduces technical debt ➜ Production-ready engineering and scalable system design ➜ Clean, maintainable, and extensible code ➜ Clear technical communication with business stakeholders ➜ AI solutions focused on measurable business outcomes ➜ Long-term engineering partnership from architecture through deployment Whether you're launching a new AI product, modernizing an existing enterprise platform, or scaling a mission-critical application, I bring an architecture-first approach focused on long-term scalability, operational reliability, and measurable business value.

Is your inventory counting taking days instead of hours? Are stock discrepancies costing you money? Many RFID and inventory tracking projects fail — not because the idea is wrong, but because too much time and budget are lost on trial and error: ❌ Wrong RFID hardware choices — readers, antennas, or tags ❌ Unclear technical direction ❌ Multiple vendors that do not speak the same technical language That is why I prefer to start small and validate early. 🔎 HOW WE BEGIN — A FOCUSED FIRST STEP ✅ Understand your exact use case: • Warehouse inventory • Asset tracking • Stock counting • Process automation ✅ Select RFID hardware that actually fits the project: • UHF RFID readers • Fixed or handheld scanners • RFID tags and antennas ✅ Test the solution with a small pilot before scaling This approach helps avoid rework, reduces unnecessary back-and-forth, and keeps technical decisions simple. 🤝 WHY CLIENTS STAY WITH ME LONG-TERM I handle both RFID hardware integration and custom software development, including: • Inventory management systems • Real-time asset tracking dashboards • Barcode and RFID scanning applications • ERP and third-party system integrations There is no handoff between separate hardware and software teams. I've worked hands-on with major RFID platforms, including Zebra, Impinj, and Chainway — so hardware selection is based on real experience, not spec sheets. 🎯 One technical direction 🎯 One point of responsibility 🎯 Clear next steps If the first pilot works, we move forward phase by phase. If it does not, we stop early — before too much time or budget is spent. 🛠️ WHAT I CAN HELP YOU WITH • RFID inventory management systems (UHF fixed and handheld readers — Zebra, Impinj, and Chainway) • Hardware selection, integration, and testing (readers, antennas, printers, and tags) • Warehouse and stock-counting automation • Real-time asset tracking solutions • Barcode and RFID mobile applications • Barcode and RFID desktop software • ERP, API, and third-party integrations • Inventory workflow and process automation 📩 SEND ME A MESSAGE Send me a short description of your use case. I will tell you honestly whether RFID is the right fit and what the smallest practical first step would look like.

I build AI systems that reason, not just match vectors. I’m a Senior Ontologist + Graph AI Engineer with 4+ years of production experience building RAG, GraphRAG, AI agents, and semantic knowledge systems with Neo4j, OWL ontologies, and LLMs. I currently work with Fortune 500 clients on enterprise AI and knowledge systems through Fractal Analytics. I’ve also worked with Mercedes-Benz, Philips, and QpiAI on intelligent RAG and knowledge systems. Core expertise: * GraphRAG, RAG & semantic search * Knowledge Graphs, Neo4j & Cypher * Ontology Engineering — OWL, SWRL, SKOS, RDF * Hybrid retrieval, re-ranking & query expansion * LLMs — OpenAI, LLaMA & Gemini * Pydantic & structured LLM outputs * RDF/JSON-LD data transformation * MLOps & production deployment If you’re building AI that needs to understand relationships and reason over knowledge, I can help.