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I've architected a full Layer-1 blockchain from scratch consensus, validators, staking and built AI agents that transact on-chain autonomously. 100% Job Success, every rated project 5 stars. I'm a Blockchain & AI Developer who ships complete products end-to-end: smart contracts, backends, web dApps, and mobile apps. Clients come to me when they need one developer who understands the full stack from on-chain logic to the app store. WHAT I DELIVER Agentic AI & On-Chain Payments — Autonomous AI agents transacting via the x402 protocol: machine-to-machine micropayments, zero human intervention. Built with LangChain, CrewAI, and LLM APIs. Custom Layer 1 Blockchains Complete chains with consensus, validator infrastructure, staking economics, block explorer, and faucet delivered with UAT reports and scaling roadmaps. Solana Development Anchor programs and MEV-aware trading systems with Jito bundle execution, backed by NestJS/PostgreSQL. Full dApp Development NFT marketplaces, DeFi tools, token platforms across Ethereum, Polygon, and EVM chains wallet integration to polished frontend. Mobile Apps Cross-platform Flutter apps with Web3 integration, including a multilingual P2P crypto trading platform with USDT escrow. AI Products & Automation LLM-powered systems, multi-agent workflows, AI fact checking infrastructure, and intelligent automation pipelines. Enterprise Integration Hyperledger Fabric systems, including edge-device deployments with tamper-proof data integrity. STACK Rust • Solidity • C++ • TypeScript • Python • React/Next.js • Node.js/NestJS • Flutter • Anchor • Web3.js • LangChain • CrewAI • IPFS • Hyperledger • PostgreSQL • MongoDB HOW I WORK Clients hand me a problem statement, not a spec and receive a production system with documentation, testing reports, and a roadmap. Recent feedback: "very professional and fast, will hire again." Whether it's a smart contract, a full dApp, a mobile app, or an AI agent system I build it production-ready. Let's scope your project.

With 18+ years of experience, I specialize in building robust, scalable, and high-performance Java-Spring applications, as well as modernizing and optimizing existing systems. My expertise spans end-to-end development, architecture redesign, performance tuning and bug fixing. eCommerce Expert: 10+ years specializing in SAP Hybris/Commerce Cloud and IBM WCS Technical Depth: Hands-on experience with Spring Microservices, Cloud architectures (GCP), and modular application design I deliver reliable, high-quality solutions with a focus on stability, client satisfaction, and lasting professional relationships. Hands-on experience with the following tools and frameworks: Languages & Frameworks - Java 8/11/17/21 - JSP, Servlet - Spring MVC, Spring Boot, Spring REST, Spring Batch, Spring JPA, Spring Security) - XML/XSL - Struts 1.2 - EJB 2.0 / 2.1 / 3.0 - JSF JPA - Hibernate - MyBatis Frontend - React Js - Angular eCommerce Platforms - IBM WebSphere Commerce (WCS) - SAP Hybris Commerce Messaging & Streaming - Apache ActiveMQ - Apache Kafka - Apache RabbitMQ Application Servers - WebLogic - JBOSS - Apache Tomcat Databases - Oracle - DB2 - MySQL - MongoDB - Postgres - SQL Server Reporting - iReport - JasperReports Search - Apache Solr - ElasticSearch Cache - Redis - Memcached Payment Integration - CyberSource Scheduling - Quartz Scheduler Build, Logging - ANT - Gradle - Maven - Log4j Code Quality - SonarQube - PMD - CheckStyle - FindBugs/SpotBugs - JaCoCo - Cobertura DevOps Tool - Git/GitHub - CVS - SVN - IBM ClearCase - Jenkins - Docker Web Services - Apache Axis - SOAP - WSDL API testing and collaboration tool - Postman - Swagger Testing Framework - JUnit - Groovy - Mockito Feature and Bug Tracking - Trackit Record - JIRA - Rally IDEs & Development Tools - Eclipse - IntelliJ - IBM RAD - TOAD - SQL Developer - Cygwin - Putty - JMX Console Looking forward to collaborating! Thanks & Regards, Sanjay

I’m a hands-on enterprise software professional with 14+ years of experience building scalable, process-driven solutions using leading AI, RAG, AI Agents, Agentic AI workflows implementation and collaboration, Vector DB, Graph DB, BPM platforms like Camunda 7 BPM, Camunda 8 BPM (Zeebe), Flowable BPM, Activiti BPM, and JBPM with Spring boot micro services and Python. I’ve helped clients design, automate, and optimize complex business processes for banking, insurance, government, and finance sectors. 💼 What I Do Best ✅ AI & LLM Integration | Intelligent Automation | RAG | Agentic Workflows | N8N (AI Autumation) | Airtable - AI-powered chatbot assistants using OpenAI GPT models, Claud and Ollama (Mistral, Llama), Claud with Python FastAPI, Claude and OpenAI Agents SDK. - Semantic search pipelines using vector db(FAISS and Qdrant), Graph DB(Neo4j), enabling Retrieval-Augmented Generation (RAG) for high-relevance contextual responses. Voice agent platform(RetellAI). - Built custom AI agents with tool usage and memory, orchestrated using LangChain /Langgraph / Agentic frameworks(CrewAI) for multi-step automation tasks and N8N AI workflow automation. - Seamlessly integrated AI assistants into Business Process Management (BPM) workflows (e.g., Camunda) to optimize decision making and automate repetitive user interactions. - Automated agentic workflows for tasks like retrieve incident status, details, cancellation requrest, get incident details via email, create incident, text summarization for form fields, document summarization, incident triage, ticket classification, and knowledge base augmentation. -Auto email responder using, email notifications, whatsapp notifications, SMS, telegram notifications using multi agents workflows. ✅ Business Process Automation - Camunda 7 / Camunda 8 (Zeebe) / Flowable / JBPM / Activiti BPM - Process modeling (BPMN), DMN, and custom workflow engines - Drools, Zen(GoRules) rule engine and complex decision automation ✅ Backend & Microservices Development - Java (Spring Boot, Spring Security, JPA, Hibernate) - Python (FastAPI) for high-performance APIs and AI integrations - RESTful API design, OAuth2, JWT, Keycloak-based security ✅ ETL Tools - Apache NiFi - Apache Airflow ✅ DevOps & Cloud Deployments - Docker, Kubernetes (EKS, ECS) - CI/CD with Jenkins, GitHub Actions - AWS (EC2, S3, Lambda, CloudWatch, API Gateway etc.) ✅ Integrations & Messaging - Apache Kafka (Confluent), RabbitMQ, Apache Camel - Elasticsearch, Apache Solr, Lucene for advanced search - Payment gateways: Stripe, Razorpay, PayPal, Moneris ✅ Frontend Capability (with expert UI/UX team) - Angular, ReactJS, NodeJS - PSD/XD to responsive HTML, Tailwind, Material UI 🎓 Corporate Trainings & Mentorship I offer professional training programs (remote/onsite) on: - Camunda 7 / Camunda 8 (Zeebe) - Flowable / Activiti / JBPM - Elasticsearch ✅ Why Clients Work With Me - Deep domain knowledge in AI + BPM + Microservices - Strong architecture, documentation & code quality - Proven track record delivering enterprise-grade systems - Ability to lead full project lifecycle — from POC to production 💬 Let’s connect and discuss how I can automate and optimize your business with smart workflows, secure APIs, and cloud-native systems.

✅ Spring, Spring Boot, Spring Cloud, Spring Security ✅ AI/ML Tools: TensorFlow, PyTorch, scikit-learn, OpenAI, LangChain ✅ Hibernate, JPA, JDBC ✅ PostgreSQL, Oracle, MySql, MongoDB, Flyway, Liquibase, Redis, Athena, Hazelcast ✅ REST API, SOAP, gRPC, GraphQL ✅ Kafka, RabbitMQ, ActiveMQ, Artemis, AWS SQS ✅ Keycloak, Apache Camel ✅ Microservices architecture: API Gateway, Service discovery (kubernetes), configuration, etc. ✅AWS Services ✅Kubernetes, Docker ✅Elastic Search, Apache Solr ✅Angular, ReactJS ✅Kotlin ✅Apache POI I am a Java professional with 11 years of experience. I have strong understanding and knowledge of the object-oriented approach, software engineering principles, and concepts. I have an incredible attention to detail and perseverance in getting the job done, and done it well. Over the last few years, I have built many AI systems across industries. - Real production systems with users, revenue, workflows, and business impact. We specialize in building AI systems that are: → Enterprise-grade → Multi-tenant → Scalable → Secure → Integrated into real business operations → Built for ROI, not experimentation

I am a Senior Java Backend Developer with 7+ years of experience building and modernizing scalable backend systems using Spring Boot microservices, Solr-based search, and enterprise Java architectures. I have worked with global organizations like Gartner and Monster.com, supporting platforms used by millions of users worldwide. I have strong experience in migrating legacy Java and Spring applications, including Solr upgrades and search re-architecture, as well as decomposing monolithic systems into microservices to improve scalability, reliability, and deployment velocity. Alongside core backend work, I have hands-on experience in Python data mining, Apache Kafka–based event-driven systems, and cloud-native development using Docker, Kubernetes, and AWS (EC2, S3, IAM). I also work with React and TypeScript to improve search-driven user experiences and ensure smooth integration between frontend and backend systems. I focus on building clean, maintainable, and future-ready systems, with clear communication and a practical, results-driven approach. If you need a senior engineer to modernize, optimize, or scale your backend platform, I’d be happy to help.

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.