Hire the Best PrimeFaces Specialists in Ahmedabad, IN

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.

🎯 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.

𝗘𝘃𝗲𝗿𝘆𝗼𝗻𝗲 𝗶𝘀 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗜 𝘁𝗵𝗲𝘀𝗲 𝗱𝗮𝘆𝘀. 𝗩𝗲𝗿𝘆 𝗳𝗲𝘄 𝗮𝗿𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗜 𝘁𝗵𝗮𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗼𝗿𝗸𝘀. I’m Yash, an AI Engineer and Full Stack Developer. I specialize in AI agent development, enterprise RAG systems, and high-scale Full-Stack engineering. 𝗜’𝘃𝗲 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱:   • Multi-agent backend systems across LLM providers (GrowStack AI: 130+ agents on shared infra, multi-LLM routing across Claude, OpenAI, Gemini)   • Voice AI at scale (BPO inbound voicebot handling 200-plus concurrent calls with 82% qualification accuracy)   • Document intelligence pipelines (FreightMynd: AI extraction for Logistics Compnay, 50% AI cost reduction)   • HIPAA-grade healthcare AI (medical entity extraction with consent scoping) I help startups and SaaS companies build products that solve real business problems instead of breaking after the demo. 🧠 𝗧𝗛𝗘 𝗔𝗜 & 𝗟𝗟𝗠 𝗘𝗗𝗚𝗘 I design systems that understand context, reason over data, and deliver consistent outputs in real-world production environments. 🔹 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄s: LLM agents and autonomous workflow automation across Claude, OpenAI, and open-source models 🔹 𝗥𝗮𝗴 S𝘆𝘀𝘁𝗲𝗺𝘀: Advanced retrieval models using Pinecone, ChromaDB, Weaviate, and FAISS. 🔹 𝗔𝗜 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: LangChain, LangGraph, LlamaIndex, and Multi-Agent Orchestration. 🔹 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜: Vapi, Retell, Pipecat, ElevenLabs, Deepgram, OpenAI Realtime API 🔹 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗔𝗜: Whisper transcription, object detection, image generation integrations 💻 𝗙𝗨𝗟𝗟-𝗦𝗧𝗔𝗖𝗞 𝗔𝗥𝗖𝗛𝗜𝗧𝗘𝗖𝗧𝗨𝗥𝗘 (𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁 𝗮𝗻𝗱 𝗣𝘆𝘁𝗵𝗼𝗻) I provide the "Missing Link" between AI research and production-ready software. 👨‍💻 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗠𝗮𝘀𝘁𝗲𝗿𝘆: React.js, Next.js with App Router, TypeScript, Redux Toolkit. TailwindCSS, Shadcn/UI, Material UI, Figma-to-Code. Performance optimization, edge caching, SEO-friendly architectures ⚙️ 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 & 𝗔𝗽𝗶 𝗼𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻: Node.JS: ExpressJS, NestJS, WebSockets (Socket .io). Python: FastAPI, Django REST Framework, Asynchronous Python. APIs: GraphQL, Apollo Server, RESTful design, and secure JWT/Auth0 integration. 🗄️ 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 & 𝗖𝗹𝗼𝘂𝗱: SQL/NoSQL: PostgreSQL, MongoDB, MySQL, DynamoDB, Supabase. CLOUD & DEVOPS: AWS (EC2/S3/Lambda), Azure, Google Cloud, Docker, Kubernetes. CI/CD: GitHub Actions, Bitbucket Pipelines, Vercel, and Railway. 📊 𝗦𝗮𝗮𝘀 & 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 I architect and develop full SaaS ecosystems from scratch: - Multi-tenant architectures with Row Level Security - Subscription billing (Stripe, PayPal) - Real-time dashboards, CRM systems, internal admin panels - Audit logging, RBAC, compliance-ready (HIPAA, GDPR adjacent patterns) 🏆 RECENT WINS ⭐ AI EFFICIENCY: Built a chatbot that reduced support tickets by 70%. ⭐ SCALE: Managed a CRM SaaS with 40,000+ active users via React and Node. ⭐ SPEED: Migrated legacy systems to Next.js, boosting SEO and load speed by 50%. ⭐ KNOWLEDGE: Created a RAG assistant with Pinecone that automated corporate onboarding. ⭐ MOBILE: Developed a full-stack Firebase app supporting 100k+ users. 💡 WHY PARTNER WITH ME? ✔ BUSINESS-FIRST MINDSET: I code for ROI, not just for fun. ✔ ZERO TECHNICAL DEBT: Scalable, clean code that your team can actually maintain. ✔ FULL OWNERSHIP: I handle Frontend, Backend, AI, and Cloud in one place. ✔ TRANSPARENCY: Daily/Weekly updates and proactive communication. Your success is my success. Your project becomes my responsibility. READY TO BUILD? Tell me your workflow, and I will turn it into a scalable AI asset. 👉 Click INVITE TO JOB and let’s get it done properly.

🏆 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.

14+ Years of Experience in building scalable SaaS platforms and digital marketplaces 🔹 Strong background in AI-enabled product development 🔹 Focused on end-to-end delivery from MVP to production 🔹 Proven experience working with startup and growth-stage teams I help startups and product teams build scalable SaaS platforms, marketplaces and EdTech systems with integrated AI capabilities. My strength lies in combining full-stack engineering with practical AI implementation, enabling businesses to launch intelligent products faster without over-engineering. I have worked on: • Multi-tenant SaaS platforms • Marketplace and booking systems • EdTech platforms and LMS products • AI-enabled internal tools and dashboards Recently, I have contributed to projects involving: • AI copilots integrated into SaaS workflows • Knowledge assistants using RAG architectures • AI-driven search and recommendation features • Conversational interfaces for product UX • Automation using AI agents I focus on building clean, scalable product architecture that supports growth, performance and long-term maintainability. 🚀 AI Product Capabilities • AI feature integration in SaaS platforms • RAG-based knowledge assistants • AI-driven search and recommendations • Conversational product experiences • Workflow automation using AI agents 🧠 Platform Engineering • SaaS architecture & multi-tenant systems • Marketplace and booking platforms • EdTech & LMS development • API-driven backend systems • Performance-focused frontend applications 🛠 Tech Stack • Frontend: React, Next.js • Backend: Node.js, Python • Database: PostgreSQL, MongoDB • Cloud: GCP, AWS EC2, S3, Digital Ocean, Heroku • Payment Gateway: PayPal, Stripe, Authorize.net,Chargify I typically start with a short discovery phase to align on product goals, technical architecture and AI feasibility. This helps reduce rework and ensures faster, structured MVP delivery. If you're building a SaaS product, marketplace or EdTech platform with AI capabilities, I’d be happy to collaborate. Project tracking systems: - Atlassian JIRA - Trello

Top Rated Plus • 100% Job Success • $400K+ Earned on Upwork CTO & Co-founder @ Codiste (50+ AI engineers) • Harvard '24 I build mission-critical AI Agents, Voice AI systems, and MCP Servers for FinTech, PropTech, RegTech, and MarTech clients - from funded startups to Fortune 500. When off-the-shelf AI tools hit their ceiling, my team engineers production systems that scale to millions of users, sub-500ms latency, and enterprise-grade compliance. ━━━━━━━━━━━━━━━━━━━━━━━━ WHAT I SPECIALIZE IN ━━━━━━━━━━━━━━━━━━━━━━━━ ▸ AI AGENT DEVELOPMENT Multi-agent orchestration with LangGraph, CrewAI, AutoGen, and custom frameworks. Agentic RAG with Pinecone, Weaviate, pgvector, and Qdrant. Tool-calling agents, production MLOps pipelines, and real-time inference infrastructure. ▸ VOICE AI (TTS/STT at Production Scale) Enterprise voice agents processing millions of daily calls. Deep experience with Retell AI, Vapi, Synthflow, Bland, LiveKit, and Twilio. Custom STT/TTS pipelines using ElevenLabs, Deepgram, Whisper, and Cartesia. Proven 60–80% call-center cost savings with 24/7 availability. Flagship: Dialora - 24/7 AI voice agent platform. ▸ MCP SERVER DEVELOPMENT (Early specialist - rare talent in this space) Custom MCP servers exposing internal APIs, databases, and workflows as agent tools. MCP gateways unifying 50+ enterprise systems for Claude, GPT, and Gemini agents. Streamable HTTP + stdio transports, OAuth pass-through, JSON Schema contracts, and compliance-safe agent governance. ▸ FINTECH AI Payment automation, KYC/AML agents, fraud detection, and real-time algorithmic trading with sub-100ms inference. Ledger engineering and PCI-DSS aware architecture. Flagship: Neuro Digital Bank. ▸ PROPTECH AI Real-estate lead qualification agents, virtual tour AI, property valuation models, listing intelligence, and tenant communication agents. ▸ REGTECH AI Blockchain-verified AI inference networks for auditability. Compliance copilots, regulatory reporting agents, and AI governance platforms. ▸ MARTECH & ADTECH AI Autonomous campaign-management agents and multi-modal content repurposing (video → clips → posts). Flagship: Assembler - 100TB+ processed monthly. ━━━━━━━━━━━━━━━━━━━━━━━━ WHY CLIENTS WORK WITH ME ━━━━━━━━━━━━━━━━━━━━━━━━ → CTO & Co-founder at Codiste — 50+ AI engineer team, 6+ years shipping production AI → 10,641+ billable hours on Upwork, 100% Job Success across 49 completed jobs → Harvard (2023–2024) + BTech Computer Science → Member of the Metaverse Standards Forum → Track record with startups, enterprises, and government agencies ━━━━━━━━━━━━━━━━━━━━━━━━ HOW I WORK ━━━━━━━━━━━━━━━━━━━━━━━━ 1. Discovery call - we align on outcomes, not output 2. Architecture doc and technical spec before a single line of code 3. Weekly demos, async updates, full code ownership for you 4. Production deployment + monitoring + handover ━━━━━━━━━━━━━━━━━━━━━━━━ TYPICAL ENGAGEMENTS ━━━━━━━━━━━━━━━━━━━━━━━━ → MVP to production in 30–60 days (fixed-price or hourly) → Fractional CTO / AI architect retainers → Technical due diligence for AI investments and acquisitions → Multi-month enterprise builds with a dedicated team ━━━━━━━━━━━━━━━━━━━━━━━━ Message me with your problem (not just a tech stack), and I'll reply within 4–8 hours with honest feedback on whether I can help - and whom to talk to if I can't. Would love to contribute to an idea that resonates with my skill set.