Hire the Best PrimeFaces Specialists in Ahmedabad, IN

🎯 Liferay DXP 7.4 Certified Professional Back-End Developer ⌛ 10 Years on Liferay Platform 🏆 100% Job Completion | Top Rated on Upwork | 7500+ Hours on Upwork I have 10 years of expertise in Software Development, Solution Architecture, and Product Design, with a strong focus on Liferay and Spring technology. 💼 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐤𝐢𝐥𝐥 : 𝐂𝐨𝐫𝐞 : Java, J2EE, Liferay(6.X/7.X), Spring Boot, JSF, PrimeFaces,Icefaces, Richfaces, FHIR, ABDM, SNOMED-CT,REST, SOAP web services 𝐅𝐫𝐨𝐧𝐭-𝐄𝐧𝐝 : AngularJS, ReactJS, HTML4/5, XHTML, XML, CSS3, jQuery, JavaScript, AJAX 𝐒𝐞𝐫𝐯𝐞𝐫𝐬 : Tomcat, JBoss/Wildfly and Jetty, GlassFish 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 : Spring Security, OAuth2, JWT 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 : SQL, MySQL, PostgreSQL, MongoDB and Oracle 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 : Gmail, Google Meet, Google Calendar, Zoom, RazorPay, Stripe, SMTP, Twilio, DocuSign, Google Maps API, PayPal 𝐇𝐞𝐚𝐥𝐭𝐡𝐂𝐚𝐫𝐞 𝐒𝐭𝐚𝐧𝐝𝐚𝐫𝐝 : FHIR | EHR | EMR | SNOMED | HL7 | OpenEHR | OpenEMR | ABDM 𝐒𝐞𝐚𝐫𝐜𝐡-𝐄𝐧𝐠𝐢𝐧𝐞𝐬 : Apache Solr, Elastic Search 𝐂𝐥𝐨𝐮𝐝 𝐚𝐧𝐝 𝐃𝐞𝐯𝐨𝐩𝐬 : AWS, Google Cloud, Azure, Jenkins, CICD, Docker, Kubernetes 𝐓𝐞𝐬𝐭𝐢𝐧𝐠 : JTest, JUnit, Mockito and Powermock 𝐂𝐨𝐝𝐞 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 𝐓𝐨𝐨𝐥𝐬 : Crucible and Sonarqube 𝐁𝐮𝐢𝐥𝐝 𝐭𝐨𝐨𝐥𝐬 : Maven, Gradle, Ant, npm, grunt and webpack 𝐕𝐂𝐒 : SVN, GIT, GITLAB, Bitbucket 𝐎𝐒 : Linux, Windows and Mac OS 𝐁𝐮𝐠/𝐈𝐬𝐬𝐮𝐞 𝐭𝐫𝐚𝐜𝐤𝐞𝐫𝐬 : Jira, asana, Trello 🔐𝐋𝐢𝐟𝐞𝐫𝐚𝐲 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 : ➜ Expert in almost all OOTB features [ Sites, Pages, Webcontents, Fragments, Layouts, Asset Publishers, Categories, Tags, Search, Workflows, User Management, Roles, Permission, User Groups ] ➜ Implemented Custom Portlets [ using MVC, React, Spring, JSF, service builder and standards like OSGI, JSR 168 and 268 ] ➜ Implemented REST API using Liferay Rest builder ➜ Implemented themes [ using Freemarker, velocity ], ➜ Customized Liferay [ using Service wrapper, Portlet filter, Lifecycle events, Model listeners, Search contributors, JSP, Core Classes ] ➜ Implemented Web Fragment [ Freemarker, HTML, CSS, Javascript ] ➜ Implemented SSO Integration supports SAML, Keycloak, LDAP, OpenId, OAuth, and more ➜ Implemented SMS and WhatsApp Integration using Twilio ➜ Implemented Third-Party integration using REST API or client SDK ➜ I have recently upgraded Liferay 7.0 to Liferay 7.4 including data and code migration both. Looking forward to working with you to develop and deliver a fantastic product and Solutions as per your Business Requirements.

Healthcare AI built by an engineer who knows buyers are right to filter out generalists. Medical imaging on DICOM, clinical NLP that handles negation and hedging, HIPAA-aware PHI pipelines, patient-facing apps that respect privacy for hospitals, radiology centres, pharma R&D, CROs, medical device makers, health-tech teams. I work with the Brainy Neurals team as the healthcare-AI engineer. My focus sits between "we have clinical data" and "validated AI helping clinicians" model design, PHI handling under your BAAs, on-prem vs cloud, validation against radiologist ground truth, shipping into EHR or device workflow. WHAT I BUILD / IN HEALTHCARE Medical imaging AI — DICOM ingestion, de-identification per Safe Harbor, organ and lesion segmentation on CT and MRI, abnormality detection, NIfTI and ITK pipelines, 3D Slicer. Built on MONAI, nnU-Net, TotalSegmentator, RadImageNet, validated against radiologist consensus. Clinical NLP and document AI note summarisation, ICD and SNOMED mapping, negation and hedging, family-vs-patient history disambiguation, medication extraction, lab-report parsing, prescription OCR. The grammar of clinical text is its own thing; I treat it accordingly. Pharma and clinical research clinical protocol to eCRF extraction (demographics, vitals, inclusion-exclusion, study-arm), systematic review using RoB2, GRADE, PRISMA, citation validation, batch record digitisation, evidence assembly. Patient-facing apps GI symptom-trackers with AI food and lifestyle recommendations, diabetic and gut-condition dish-suggestion, telehealth onboarding, chronic-care intake, mental-health support. Flutter or React Native fronts, FastAPI backends. Hospital workflow AI appointment automation, triage, hand-hygiene monitoring, fall-detection in wards (pose-based, no face recognition), bed-occupancy. THE STACK / FOR MEDICAL & PHARMA Imaging: MONAI, DICOM, NIfTI, ITK, 3D Slicer, nnU-Net, TotalSegmentator, RadImageNet, modality fusion. Clinical NLP and docs: Docling for medical PDFs, DocTR and TR-OCR for prescription and lab OCR, GPT-4o multimodal for complex layouts, Claude and Gemini for clinical reasoning, regex and Pydantic validation, NegEx-style negation with LLM verification. Knowledge: Neo4j for clinical knowledge graphs (drug-drug interaction, condition-symptom, contraindications). pgvector or Qdrant for medical literature. RAG over institutional protocols, authoritative sources only. Infrastructure: FHIR and HL7 v2 with EHRs, OMOP CDM for research, FastAPI for clinical APIs, Flutter and React Native for patient apps, AWS and Azure inside client BAAs, on-prem Ollama and vLLM where data cannot leave. WHO I BUILD FOR Hospitals and clinics radiology AI, patient-flow analytics, EHR decision support, ward-safety. Radiology centres, DICOM pipelines, organ and lesion segmentation, second-read AI, reporting integration. Pharma R&D and CROs clinical protocol extraction, systematic review, eCRF generation, evidence assembly. Medical device (pre-clearance) model prototyping, validation harnesses, dataset curation. I do not claim FDA-cleared deliverables; I build the substrate that goes through your regulatory team. Telehealth and health-tech patient intake, AI triage, multilingual symptom-checker. Specialty practices dental, dermatology, gastroenterology, oncology, mental health. Specialty-tuned models on small datasets. Health insurance claim review, prior-auth triage, appeals support, evidence extraction. HOW I WORK / WITH HEALTHCARE BUYERS Discovery is a 30-minute call: data sources, clinical workflow, compliance posture (HIPAA, GDPR, local). By the end I tell you whether the use case is feasible, validation plan, where ground truth comes from, how PHI flows. If it touches a regulated device pathway, I tell you what is in scope for me and what your regulatory team owns. Pricing is fixed-scope per milestone feasibility, dataset and PHI design, model build, validation, integration handoff. Hourly only for maintenance after deploy. THE BRAINY NEURALS BACKING I work with the Brainy Neurals team 15 AI engineers, NVIDIA Inception Partner, AWS Activate, Microsoft for Startups. When a project needs ward-monitoring cameras, edge deployment on hospital hardware, RAG over clinical docs, or workflow automation around the AI, that capacity sits with the team I bring them in cleanly, you do not manage multiple vendors. For pure healthcare model and clinical-NLP work I lead end to end myself. LET'S TALK / IF You are inside healthcare or pharma, you have a clinical workflow AI can genuinely help with, you understand the validation and compliance work this requires, and you want a senior engineer who has built medical imaging, clinical NLP, and patient-facing apps before not a generalist learning HIPAA on your project. Tell me your data, workflow, compliance. I reply within 24 hours with feasibility, validation approach, milestones.

Lead Software Engineer with 13+ years of experience across full-stack products, platform foundations, collaboration tools, and large-scale marketplace systems. Focusing on building complex frontend surfaces and platform capabilities that scale across products. Experience spans Vue/Nuxt applications, microapps, design systems, collaboration workflows, and AI-assisted product experiences, with a strong emphasis on performance, accessibility, and maintainability. Recent work includes agentic AI and Claude-based workflows for accelerating frontend implementation while keeping code quality, maintainability, and user impact central to the process. Core technologies include JavaScript, TypeScript, Vue, Nuxt, React, Flutter, Laravel, NodeJS, PostgreSQL, Redis, Docker, and cloud deployments.

🏆 AWS Certified Generative AI Developer - Professional 🏆 AWS Certified Machine Learning – Specialty 🏆 AWS Certified Data Analytics – Specialty 🏆 Google Cloud Professional Machine Learning Engineer 🏆 Google Cloud Professional Cloud Architect I help businesses design, build, and deploy production-ready Generative AI applications powered by LLMs, AI Agents, RAG pipelines, Voice AI, and workflow automation. With 8+ years of experience in Machine Learning, NLP, Computer Vision, and Cloud AI, I specialize in transforming AI prototypes into scalable, enterprise-grade solutions running on AWS, GCP, and Kubernetes. What I Build ✅ AI Agents & Agentic Workflows * Single-Agent & Multi-Agent Systems * LangGraph Agent Development * MCP (Model Context Protocol) Integrations * Tool Calling & Function Calling Agents * Autonomous Research & Task Execution Agents * AI Workflow Automation ✅ RAG & Enterprise Search * Retrieval-Augmented Generation (RAG) * Enterprise Knowledge Assistants * Internal Documentation Chatbots * PDF, SharePoint, Confluence & Website Search * Hybrid Search (Vector + Keyword) * Agentic RAG Architectures ✅ Conversational AI & Voice AI * AI Chatbots * Customer Support Assistants * AI Voice Agents * Call Center Automation * Real-Time Speech-to-Speech Applications * Voice Ordering & Appointment Booking Systems GenAI Technologies 📍 LLMs OpenAI GPT-4o, GPT-5, Claude, Gemini, Llama, Mistral, Gemma, AWS Bedrock 📍 Agent Frameworks LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, LangSmith, LangFuse 📍 Vector Databases Pinecone, Qdrant, Weaviate, Milvus, ChromaDB, pgvector, Elasticsearch, Redis 📍 Voice AI Vapi, ElevenLabs, Deepgram, AssemblyAI, Whisper 📍 Prompt Engineering & Optimization DSPy, TextGrad, Structured Outputs, Guardrails 📍 LLM Deployment vLLM, Hugging Face TGI, TensorRT-LLM, Ray Serve, TorchServe Machine Learning & MLOps 📍 TensorFlow 📍 PyTorch 📍 Hugging Face 📍 Scikit-Learn 📍 Spark ML 📍 Forecasting & Predictive Analytics 📍 Computer Vision Solutions Cloud & Infrastructure AWS: Bedrock, SageMaker, Lambda, ECS, EKS, Textract, Comprehend, Rekognition, Transcribe, Polly, Forecast, Personalize Google Cloud: Vertex AI, Agent Builder, Gemini, Document AI, Dialogflow CX, GKE, Cloud Run, Cloud Functions Azure: Azure OpenAI, Azure ML Infrastructure: Kubernetes, Docker, CI/CD, GitHub Actions, Terraform Industries Served ✔ Retail & eCommerce ✔ Manufacturing ✔ Supply Chain & Logistics ✔ Automotive ✔ Healthcare ✔ Financial Services ✔ Customer Support Operations Whether you need an AI Agent, RAG chatbot, Voice AI solution, LLM-powered application, or a complete GenAI platform deployed on AWS/GCP, I can help take your idea from concept to production.

Hey, i am Jitendra 👋 Give me something to build and i'll build it for you in the most efficient and optimised way. so it works for you 24/7. Thats my promise. As a Full-Stack Developer with 10+ years of experience building scalable, high-performance web applications. I specialize in React, Node.js, NestJS, MongoDB, and MySQL, and have a strong foundation in PHP, WordPress, Magento, and Laravel from my early career. I bring more than just code, i bring a product mindset, strong UX vision, and clear technical decision-making. From architecting databases to crafting pixel-perfect UIs, I approach every problem with a holistic and end goal perspective, ensuring that every layer of your product, from backend to frontend, works in perfect sync. Here’s what I bring to your project: 🚀 Frontend Expertise: React, Next.js, Vite, TailwindCSS, Redux, Zustand, Mobx, Storybook, CodeMirror, Draft.js, TipTap, Turborepo. 🧠 AI & Agent Systems: OpenAI, Anthropic, LangChain, LangGraph, multi-agent pipelines. 🔧 Backend : Node.js, NestJS, Koa, Express, TypeORM, REST APIs, WebSockets, BullMQ, RabbitMQ. 💻 CMS & DevOps: Strapi, Supabase, AWS (S3, EC2), CI/CD, Docker. I guarantee to deliver only top quality product. The results are solutions that consistently meet my clients needs and exceed their expectations. Feel free to contact with me for your project! Best wishes, Jitendrasinh Rana