Shobhit G.
AI Voice Agent Developer | Healthcare AI | AI Receptionist | RCM
๐ I build HIPAA-aware AI Receptionists, RCM automation, and medical document pipelines for US clinics and billing companies. I also build Invoice Automation, AP Automation, Contract AI, and enterprise document management workflows. โ Voice AI Agents and AI Receptionists for Healthcare AI front desks that answer patient calls 24/7, book and reschedule appointments, handle FAQs, capture patient information, route urgent calls, and integrate with EHRs, scheduling systems, and CRMs. โ Revenue Cycle Management and Medical Billing Automation Automation for eligibility verification, prior authorization, charge capture, medical coding, claims processing, claim scrubbing, submission, payment posting, denial workflows, and payer follow-up. โ Healthcare Document and eFax Automation AI-powered OCR and document intelligence that classify inbound faxes, referrals, medical records, lab documents, insurance documents, and prior authorization requests, extract structured data, and route information into the appropriate workflow or EHR. โ AI Medical Scribe Voice and consultation transcription converted into structured clinical notes for provider review, helping reduce manual documentation and after-hours charting. โ Invoice and AP Automation AI pipelines that extract invoice data, validate line items, match invoices with purchase orders, identify discrepancies, route approvals, and push structured information into ERP or accounting systems. โ Contracting and Contract Management AI AI-powered contract repositories, clause extraction, contract search, renewal tracking, risk identification, contract comparison, drafting assistance, approval workflows, and document Q&A. โ Document AI and Intelligent Document Processing End-to-end document extraction pipelines using OCR, LLMs, classification, validation, human review, and structured data extraction for PDFs, scanned documents, forms, contracts, invoices, medical records, and enterprise documents. Voice AI Expertise I build inbound and outbound Voice AI systems using: โ Vapi โ Retell AI โ ElevenLabs โ Twilio โ Bland AI โ OpenAI Typical workflows include: โ Healthcare AI receptionist โ Patient appointment scheduling โ Appointment reminders โ Patient intake โ After-hours call handling โ Call routing and escalation โ Insurance and eligibility workflows โ Lead qualification โ Customer support โ CRM and EHR integrations Document AI Expertise I have built DocuSensa, our Document AI platform for extracting, understanding, searching, and automating business documents. Typical Document AI workflows include: โ OCR and document extraction โ Document classification โ Structured JSON extraction โ Human-in-the-loop validation โ Contract clause extraction โ Invoice extraction and reconciliation โ Medical document processing โ eFax classification โ Referral processing โ Document search and RAG โ Enterprise knowledge bases โ Approval and review workflows My Technical Stack โ AI: OpenAI, Claude, Llama, LangChain, RAG โ Vector Databases: Qdrant, Pinecone โ Backend: Python, Django, FastAPI โ Frontend: React, Next.js โ Databases: PostgreSQL โ Cloud: Azure, AWS โ Voice AI: Vapi, Retell AI, ElevenLabs, Bland AI, Twilio โ Automation: Make, Zapier, Power Automate โ Integrations: EHR/EMR systems, HubSpot, Salesforce, Gmail, Microsoft, Shopify, Slack and third-party APIs That might mean: โ answering more patient calls without increasing front-desk headcount โ reducing manual medical billing work โ automating claim and eligibility workflows โ processing thousands of documents automatically โ reducing invoice processing time โ creating a searchable contract repository โ extracting structured data