Hire the Best AI Receptionist Builders

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 8+ 𝗬𝗲𝗮𝗿𝘀 | 𝟭% 𝗼𝗳 𝗨𝗽𝘄𝗼𝗿𝗸 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀. ✅ $300K+ Total earnings ✅8+ Years experience as Fullstack Developer ✅ 80+ Projects Completed. ✅Top Rated Plus. ✅ 100% Job Success Rate. ✅ AWS certified ✅ Python certified ✅50hrs/week available ✅ 4+ AI/ML Integrations 🔴 I am in the 𝗧𝗼𝗽 𝟭% overall on Upwork. 🔴 I am in the 𝗧𝗼𝗽 𝟰% overall on Stack Overflow. 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 / 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬: 𝐂𝐫𝐞𝐰𝐀𝐈 / 𝐀𝐮𝐭𝐨𝐆𝐞𝐧 / 𝐀𝐦𝐚𝐳𝐨𝐧 𝐏𝐨𝐥𝐥𝐲 / 𝐃𝐞𝐞𝐩𝐠𝐫𝐚𝐦 / 𝐑𝐚𝐬𝐚 𝐀𝐈 / 𝐑𝐢𝐯𝐞𝐫𝐬𝐢𝐝𝐞 𝐒𝐃𝐊 / 𝐀𝐳𝐮𝐫𝐞 𝐀𝐈 𝐒𝐩𝐞𝐞𝐜𝐡/𝐋𝐋𝐌 𝐅𝐢𝐧𝐞𝐭𝐮𝐧𝐢𝐧𝐠: 𝐔𝐬𝐢𝐧𝐠 𝐏𝐄𝐅𝐓 / 𝐋𝐨𝐑𝐀 / 𝐐𝐋𝐨𝐑𝐀 / 𝐑𝐋𝐇𝐅 / 𝐃𝐏𝐎 / 𝐒𝐅𝐓 𝐰𝐢𝐭𝐡 𝐔𝐧𝐬𝐥𝐨𝐭𝐡 / 𝐀𝐱𝐨𝐥𝐨𝐭𝐥 / 𝐇𝐮𝐠𝐠𝐢𝐧𝐠𝐅𝐚𝐜𝐞 𝐀𝐮𝐭𝐨𝐓𝐫𝐚𝐢𝐧 / 𝐒𝐚𝐠𝐞𝐌𝐚𝐤𝐞𝐫 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠/𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐋𝐋𝐌𝐬: 𝐋𝐋𝐀𝐌𝐀 𝟑 / 𝐌𝐢𝐬𝐭𝐫𝐚𝐥 𝟕𝐁 / 𝐌𝐢𝐱𝐭𝐫𝐚𝐥 𝟖𝐱𝟕𝐁 / 𝐅𝐚𝐥𝐜𝐨𝐧 / 𝐆𝐞𝐦𝐦𝐚 / 𝐁𝐥𝐨𝐨𝐦 / 𝐎𝐫𝐜𝐚 𝐌𝐢𝐧𝐢 / 𝐆𝐮𝐚𝐧𝐚𝐜𝐨/𝐅𝐚𝐬𝐭 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞: 𝐯𝐋𝐋𝐌 / 𝐓𝐆𝐈 / 𝐓𝐞𝐧𝐬𝐨𝐫𝐑𝐓-𝐋𝐋𝐌 / 𝐒𝐊𝐏𝐢𝐥𝐨𝐭/𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: 𝐌𝐮𝐥𝐭𝐢-𝐭𝐮𝐫𝐧 / 𝐅𝐞𝐰-𝐬𝐡𝐨𝐭 / 𝐙𝐞𝐫𝐨-𝐬𝐡𝐨𝐭 / 𝐑𝐀𝐆-𝐁𝐚𝐬𝐞𝐝 / 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐚𝐛𝐥𝐞 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬/𝐐𝐮𝐚𝐧𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: 𝐀𝐖𝐐 / 𝐆𝐏𝐓𝐐 / 𝐆𝐆𝐔𝐅 / 𝐆𝐆𝐌𝐋 / 𝐐𝐋𝐎𝐑𝐀 / 𝐏𝐓𝐐 / 𝐃𝐐/𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧 / 𝐋𝐥𝐚𝐦𝐚𝐈𝐧𝐝𝐞𝐱 / 𝐂𝐡𝐫𝐨𝐦𝐚 / 𝐅𝐀𝐈𝐒𝐒 / 𝐏𝐢𝐧𝐞𝐜𝐨𝐧𝐞 / 𝐐𝐝𝐫𝐚𝐧𝐭 / 𝐖𝐞𝐚𝐯𝐢𝐚𝐭𝐞 / 𝐌𝐢𝐥𝐯𝐮𝐬 Greetings! I am Atul Kumar, a seasoned developer with over 8+ years of experience in web application and software development. Working with LLMs for the past 8+ years and have good expertise in AI Agents development using langchain, LlamaIndex, and LLMs like Claude, GPT4o, Amazon Bedrock, Ollama 🔹 AI Agents / Voice Agents: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, HuggingFace AutoTrain 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts 🔹 Quantization: AWQ, GPTQ, GGUF, GGML 🔹 RAG Systems: LangChain, LlamaIndex, ChromaDB, FAISS, Pinecone, Qdrant 🔹 Data Pipeline: Synthetic dataset generation, LLM evaluation frameworks 🔹 LLM Deployment: AWS Sagemaker, RunPod, GCP AI Platform, Vercel AI SDK 🖥️ 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in Node.js, Express.js, Python, Django, Flask, AWS Lambda for backend API. 🔹 Experienced with relational & NoSQL databases: MySQL, PostgreSQL, MongoDB, Firebase, Firestore. 🔹 Skilled in Python FastAPI, REST API, GraphQL API development, and database schema design. 🔹 Knowledgeable in Redis, Docker, Kubernetes, AWS EC2, S3, Nginx for scalable infrastructure. 🔹 Experienced with Nest.js for enterprise-grade server-side applications. 🔹 LangChain, LangServe, LangSmith, HuggingFace, Transformers for AI/LLM integrations. 🔹 Vector Databases: Chroma, FAISS, Pinecone, Qdrant for RAG pipelines. 🔹 Low-code AI tools: Flowise AI, LangFlow, StackAI for rapid prototyping. 🔹 Familiar with Celery task queues, testing frameworks (Pytest, Unittest), and automation tools like Selenium. 🌐 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in TypeScript, Redux Toolkit, Tailwind CSS with Next.js for high-performance frontends. 🔹 Skilled in building Progressive Web Apps (PWA) and Single Page Applications (SPA). 🔹 Expert in Vue.js, Nuxt.js, React.js, Next.js, HTML5, CSS3, React Native for responsive and cross-platform UIs. 🛠️ 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: 🔹 Skilled in Python ML libraries: Scikit-learn, Numpy, Pandas, Matplotlib, Seaborn. 🔹 Familiar with OpenAI APIs, Whisper, GPT models, ChatGPT integration, and AI chatbot deployment. 🔹 Experienced with AWS (Lambda, S3, EC2, Sagemaker), Git/GitHub, and Linux environments (Ubuntu, CentOS). 🌟 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗜 & 𝗟𝗟𝗠 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 AI Agents / Voice Assistants: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI. 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma. 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM for high-speed deployments. 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts. 🔹 Quantization: AWQ, GPTQ, GGUF, GGML for efficient LLM deployment. 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, H My expertise spans both frontend and backend technologies, as well as a variety of tools and additional skills that enable me to deliver comprehensive solutions. I am dedicated to providing high-quality, efficient solutions that cater to the unique needs of each project. My diverse skill set allows me to approach challenges from multiple angles, ensuring robust and innovative solutions. Warm regards, Atul Kumar

Losing leads to missed calls? I build 24/7 AI Voice Agents & AI Receptionists using Retell AI, Vapi, ElevenLabs & GoHighLevel that answer, qualify, and book appointments automatically. Every business I’ve worked with has the same problem, and it’s not marketing and it’s not sales. It’s response time. A call comes in after hours and nobody picks up. A new lead sits in a CRM for six hours before anyone reaches out. A booking takes three back-and-forth texts just to get confirmed. That gap is where revenue quietly disappears, and most business owners never even see it happening. That’s the problem I solve. I’m an AI Agent Development specialist and AI Voice Agent developer, and I build 24/7 AI Receptionists that answer every call, qualify every lead, and book appointments straight into your calendar, no matter what time it is or how busy your team gets. Every agent I build runs on Conversational AI and Prompt Engineering, so it understands context and responds naturally instead of following a rigid script. Here’s how it usually plays out for the businesses I work with; A home service company is missing calls every night because the office closes at 5pm, but customers call at 8. I build them an AI Voice Agent that picks up instantly, sounds like a real person, and gets the job booked before the caller even thinks about calling a competitor. A medical or dental clinic is losing new patients because reception can’t keep up with call volume, so I build an AI Receptionist that handles the FAQs, checks availability, and books the appointment directly into their calendar. A real estate or service business has leads coming in from ads, but nobody calls them back fast enough, so I set up an AI Voice Agent that reaches out within 60 seconds of a new lead coming in, qualifies them on the spot, and hands off only the ones worth a real conversation. What I Build As An AI voice & Chatbot developer: ✅ 24/7 Inbound AI Receptionists: answer FAQs, route calls, and book appointments directly into your calendar using Interactive Voice Response (IVR) flows that feel natural, not robotic ✅ Speed-to-Lead Outbound Agents: reach new leads within 60 seconds so they book before a competitor calls, built for serious Lead Generation and Appointment Setting ✅ Missed-Call Recovery: instant text-back so a missed call never turns into a lost lead ✅ Post-Call Automation: call logging, CRM tagging, and follow-up sequences triggered the moment a call ends through Automated Workflow design ✅ Multi-Agent Workflows: Reception Agent, Lead Qualification Agent, Appointment Booking Agent, and Follow-Up Agent working together inside one system ✅ AI Chatbot & Conversational AI assistants: For businesses that also want a Virtual Assistant handling website, WhatsApp, or SMS conversations alongside their voice agent I build all of this using no-code and low-code platforms, so you get a fast, reliable AI Voice Agent without the cost or delay of custom development. Every system is powered by OpenAI API and Natural Language Processing (NLP) under the hood, so conversations stay accurate and on-topic. Platforms I Work With As An AI Voice Agent & Chatbot Developer: Voice & AI: Retell AI, Vapi, ElevenLabs, Bland AI, Twilio CRM & Calendar: GoHighLevel (HighLevel), HubSpot, Salesforce, Google Calendar Automation: n8n, Make, Zapier, Webhooks, API Integration Every AI Receptionist I build also handles what happens after the call - things like logging the conversation, tagging the lead in your Customer Relationship Management system, and triggering a follow-up text automatically. This is the part most people forget to automate, and it’s usually where the real money is. Industries I Work With As An AI Voice Agent & Chatbot Developer: Home service businesses, medical and dental clinics, real estate agencies, law firms, agencies, SaaS companies, and other appointment-driven businesses that depend on the phone to bring in revenue. If your business is one of them, an AI Voice Agent isn’t a nice-to-have anymore. It’s the difference between a lead that books and a lead that goes to whoever calls them back first. Why Clients Work With Me As An AI Voice Agent & Chatbot Developer: ✔ Specialized in AI Voice Agents, AI Receptionists, and AI Agent Development across Retell AI, Vapi, and ElevenLabs ✔ Deep experience with GoHighLevel automation, workflows, and CRM integration ✔ Strong background in n8n, Make, and Zapier for end-to-end Automated Workflow builds ✔ Skilled in Prompt Engineering, Conversational AI, and Natural Language Processing for human-like agent behavior ✔ Focused on business outcomes, Lead Generation, and ROI, not just implementation Let’s Talk: Click the “Invite to Job” or send me a message with your business type, how calls are currently handled, and what CRM or booking tool you’re using. I’ll reply with a clear, practical plan for what an AI Voice Agent, AI Chatbot, or Virtual Assistant could look like for your business.

HIPAA-aware AI voice agents for healthcare — built on Synthflow, Retell AI and ElevenLabs. I turn missed calls into booked appointments with 24/7 reception, appointment booking and CRM automation that capture every inquiry and route it into your real systems. I specialize in production voice agents (Synthflow, Retell AI, Voiceflow, ElevenLabs) wired into your real systems — GoHighLevel, HubSpot, EHR / booking tools, Twilio telephony, plus AI chat & WhatsApp assistants (ManyChat, WATI) — with OpenAI / GPT-4o driving the conversation and n8n / Make orchestrating the workflow end to end. Healthcare is where I'm strongest. Recent work includes: Patient growth & booking across a 55-clinic chiropractic network (Australia) 24/7 AI shift-coordination for UK NHS healthcare staffing Bilingual (EN / ES) after-hours patient reception (Miami) Inbound AI receptionists for dental & medical clinics AI voice agent for medical consults (Synthflow + PracticeQ / EHR) I design with compliance in mind: HIPAA-aware architecture, PHI minimization, audit logging, and clear medical-escalation rules — the AI never diagnoses or gives medical advice; it routes to your staff. Beyond healthcare, I deliver the same voice + integration stack for clinics, agencies, startups, and appointment-driven service businesses. What I deliver: AI voice & chat agents: inbound / outbound calls (Twilio, VoIP), WhatsApp & web chat, FAQ, triage, appointment booking Lead qualification, enrichment & conversion bots Knowledge-base & RAG assistants (document / data retrieval, multi-agent) AI automation for business operations (n8n, Make, Zapier) + API / webhook integration CRM & calendar integration (GoHighLevel, HubSpot, Google Calendar) QA & testing for conversation flows and backend logic Backed by 8+ years in project management and backend development (JavaScript, Node.js, Express, serverless, Supabase), I own the full delivery cycle — architecture, conversation design, QA, deployment. Let's build a voice agent that fits your business. Message me to start)

𝗜 𝗯𝘂𝗶𝗹𝗱 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝘀𝗮𝘃𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 $30𝗞–$40𝗞 𝘆𝗲𝗮𝗿𝗹𝘆 𝗯𝘆 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗻𝗴 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀, 𝘀𝗮𝗹𝗲𝘀, 𝗮𝗻𝗱 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 I have partnered with 10+ companies across real estate, healthcare, social media, education, manufacturing, cybersecurity, and enterprise SaaS to deploy production-ready AI agents that handle calls, schedule appointments, and send real-time notifications to owners for important emails. These are fully operational systems running 24/7. 𝐑𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐬𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬 𝐛𝐲 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲: ➞ 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 — Voice AI receptionist that answers calls and texts 24/7, books appointments, and qualifies leads automatically · Helps businesses stop missing customers, reduce response delays, and free up teams to focus on sales · Trusted by 500+ businesses, with 2M+ conversations handled, 5,000+ appointments booked, $2.5M+ client savings, and 99% uptime. ➞ 𝐇𝐞𝐚𝐥𝐭𝐡 𝐀𝐈 — Built 𝐀𝐈 𝐦𝐞𝐞𝐭𝐢𝐧𝐠𝐬 into appointments and developed an AI agent that listens to consultations, drafts prescriptions for physicians, and generates clear action lists for patients automatically ·𝐩𝐚𝐭𝐢𝐞𝐧𝐭𝐬 𝐬𝐚𝐯𝐞𝐝: 30+ by AI agents through continuous recovery-plan monitoring and early provider alerts when health dropped below the threshold · 𝐝𝐨𝐜𝐭𝐨𝐫 𝐡𝐨𝐮𝐫𝐬 𝐬𝐚𝐯𝐞𝐝: 5/week by reducing prescription-writing and routine documentation time. ➞ 𝐂𝐍𝐂 𝐈𝐧𝐬𝐩𝐞𝐜𝐭𝐢𝐨𝐧 — AI-powered system that captures images of each finished part, compares them with drawings, and creates smart inspection reports · 𝐒𝐚𝐯𝐞𝐝 15 𝐡𝐨𝐮𝐫𝐬/𝐰𝐞𝐞𝐤 by cutting manual work and reducing errors · Uses computer vision and Claude to make quality checks faster, easier, and more accurate. 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: ✅ 𝐀𝐈 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: LangChain, LangGraph, LlamaIndex, Pydantic AI, Google ADK, OpenAI API, Claude, AWS Bedrock, Vertex AI, MCP Servers ✅ 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈: AI Agents, Multi-Agent Frameworks, Agentic Workflows, Workflow Orchestration, Autonomous AI Systems ✅ 𝐕𝐨𝐢𝐜𝐞 & 𝐒𝐩𝐞𝐞𝐜𝐡 𝐀𝐈: Retell AI, OpenAI Realtime API, OpenAI TTS, ElevenLabs, Whisper, Voice AI Agents, Speech-to-Text, Text-to-Speech ✅ 𝐑𝐀𝐆 & 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐁𝐬: RAG Pipelines, Pinecone, Weaviate, ChromaDB, Azure AI Search, Amazon OpenSearch, Hybrid Search ✅ 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞: PDF Parsing, OCR, PO Automation, Document Q&A, ERP Integration, NetSuite, Oracle ✅ 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲: LangSmith, Logfire, Phoenix Arize, Deep Eval, LLM Evaluation, Prompt Testing ✅ 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Prompt Design, Chain-of-Thought, Prompt Chaining, System Prompt Architecture, Prompt Optimization, Structured Outputs, Function Calling. ✅ 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐌𝐨𝐝𝐞𝐥𝐬: GPT-4o, GPT-4 Turbo, GPT-o1, GPT-o3, Claude Sonnet, Claude Opus, Claude Haiku, Gemini 1.5 Pro, Gemini 2.0 Flash, Whisper, ElevenLabs ✅ 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 & 𝐈𝐧𝐟𝐫𝐚: Python, FastAPI, Django, Flask, Docker, Kubernetes, AWS, Azure, GCP, DigitalOcean ✅ 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝: React, Next.js, Streamlit ✅ 𝐃𝐚𝐭𝐚: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, Celery, ETL, Data Pipelines ✅ 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: HubSpot, Salesforce, NetSuite ERP, Zapier, Make, Slack, MS Teams, Stripe, REST, GraphQL

⭐⭐⭐⭐⭐ Most teams buy AI and end up with a demo. I build AI agents that show up in your revenue, your hours saved, and your Customer experience. I have led programs at Adobe Experience Cloud and directed product delivery for Fortune 500 logistics companies. I know what enterprise clients actually need: reliability, clear stakeholder communication, real documentation, and solutions that scale. For startups, I bring that same enterprise quality at startup speed, moving fast without cutting corners. Now Specializing in US Healthcare AI I help US medical practices automate the high-volume, repetitive work that drains staff time and slows down revenue, all on HIPAA-compliant infrastructure that works with the EHRs you already use, including Epic, NextGen, ModMed, Athenahealth, and other EMRs. No system replacement required. ➜ Voice AI and after-hours handling: an AI front desk that answers 100 percent of patient calls, books and reschedules in real time, triages requests, and routes urgent after-hours calls to the right on-call provider ➜ eFax and document management: OCR and document intelligence that read, classify, and route inbound faxes and referrals automatically, with structured data sent straight into the EHR ➜ AI medical scribe: live or uploaded consultations turned into structured, provider-reviewed clinical notes, cutting after-hours charting ➜ Revenue cycle management: automated eligibility checks, claim scrubbing, submission, and ERA posting, with AI-assisted denial handling ➜ Medical billing and insurance automation: CPT and ICD charge capture through payer follow-up, plus pre-visit eligibility, copay collection, and PCI-compliant payments What I Do I am an AI Agents Developer specializing in AI SaaS, Chatbot Development, Machine Learning, and AI Consulting. ➜ AI Chatbot Development: intelligent bots for customer support, lead qualification, and conversational automation ➜ Machine Learning: models that drive business insights, predictions, and process automation ➜ AI Consulting: guiding startups and enterprises through AI integration with a business-first, ROI-focused approach ➜ AI Software and App Development: scalable MVPs and production-ready platforms built on the latest AI technologies AI Voice Agents and Automation ➜ Outbound sales SDRs (VAPI, Retell AI, Bland AI, 11Labs) ➜ Inbound receptionist bots for appointment scheduling and lead qualification ➜ CRM integration across HubSpot, Salesforce, and GHL ➜ RAG-powered support bots with sentiment analysis and knowledge base training My Proven Track Record ➜ Microsoft for Startups Approved: DocuSensa, my Document AI Platform ➜ 10+ live SaaS products serving customers across 15+ countries ➜ 15+ Voice AI agents handling more than 30,000 calls per month, with deep integrations into EMRs, booking platforms, and CRMs My Technical Stack ➜ AI and ML: OpenAI GPT-4, Claude, Llama, LangChain, RAG, Qdrant, Pinecone ➜ Development: Python (Django, FastAPI), React, Next.js, PostgreSQL, AWS, Azure ➜ Voice AI: VAPI, Retell AI, Bland AI, 11Labs, Twilio Studio ➜ Automation: Make, Zapier, Google Apps Script, Power Automate ➜ Integrations: HubSpot, Salesforce, Shopify, Slack, Gmail APIs What You Get ➜ Fast delivery with working prototypes and clear milestones ➜ A business-first approach focused on user adoption and revenue impact ➜ Transparent communication with weekly updates ➜ Post-launch support and maintenance included via monthly retainer Whether you are a medical practice trying to cut missed calls and collect more of what you are owed, or a startup taking an AI product to market, send a message with your biggest bottleneck and I will map the fastest path to results. Search Tags: AI Agent Development, AI Chatbot, Voice AI, Healthcare AI, Conversational AI, AI Medical Scribe, RCM Automation, Medical Billing Automation, EHR Integration, VAPI, Retell AI, RAG, LangChain, OpenAI API, Python, FastAPI, Automation, Machine Learning, HIPAA, Generative AI

𝗬𝗼𝘂 𝗻𝗲𝗲𝗱 𝗮𝗻 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺 𝗰𝗮𝗻 𝘁𝗿𝘂𝘀𝘁 𝘄𝗶𝘁𝗵 𝗹𝗶𝘃𝗲 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀 𝘁𝗼𝗺𝗼𝗿𝗿𝗼𝘄 - 𝗻𝗼𝘁 𝗮 𝗱𝗲𝗺𝗼 𝘁𝗵𝗮𝘁 𝗯𝗿𝗲𝗮𝗸𝘀 𝘁𝗵𝗲 𝗺𝗼𝗺𝗲𝗻𝘁 𝗿𝗲𝗮𝗹 𝘂𝘀𝗲𝗿𝘀 𝘁𝗼𝘂𝗰𝗵 𝗶𝘁. I built my first Voice AI agent 24 months ago. It worked perfectly in testing. Then a caller with a heavy accent asked a question while their dog barked in the background, and the whole thing collapsed. That project taught me something most AI developers learn too late: the demo is 10% of the work. The other 90% is everything that can go wrong - bad audio, CRM timeouts, users who say "um" fourteen times, edge cases nobody warned you about. Now I only build AI that handles the chaos. 𝗪𝗵𝗮𝘁 𝗜'𝘃𝗲 𝗯𝘂𝗶𝗹𝘁 𝗩𝗮𝗿𝗽𝗮 is a HIPAA-compliant healthcare voice agent for multi-clinic practices. It answers calls 24/7, classifies caller intent across six categories, routes to the right staff, and books appointments. 2000+ calls handled in six weeks at a 100% pickup rate. Built HIPAA-aware with no PHI in logs and EMR integration. 𝗔𝗲𝗹𝗼 is a productized AI voice receptionist for dental practices, live 24/7 with paying customers across three subscription tiers. It answers every call, books and reschedules appointments, handles FAQs, and escalates to staff only when needed, capturing the after-hours patients clinics were losing to voicemail. 𝗩𝗲𝗿𝗱𝗮𝗽𝘁 is a multi-tenant voice AI platform for home-service businesses like landscaping, HVAC, and plumbing. Each branded agent answers calls 24/7, books and qualifies jobs, syncs to Google and Outlook calendars, logs everything in GoHighLevel, and fires invoices automatically once the owner approves a job. 𝗤𝗮𝗹𝗶𝗳𝗔𝗜 takes 40+ real estate calls daily. Not test calls - actual leads, live conversations, 92% intent accuracy measured across thousands of interactions. Built on VAPI with ElevenLabs voice, GoHighLevel CRM sync, and Google Calendar booking. It qualifies buyers, handles objections, and hands off to human agents without dropping context. 𝗣𝗮𝗽𝘆𝗿𝘂𝘀 answers research questions across 15,000+ academic papers. Hierarchical chunking, hybrid search with pgvector, Cohere reranking, and cited answers. It says "I don't know" when retrieval confidence is low. Researchers trust it because it doesn't make things up. 𝗔𝗜 𝗙𝗿𝗮𝗻𝗸 generates legal documents with jurisdiction-aware retrieval. 700+ documents created with proper citations pulled from the right statutes. React frontend, Python backend, pgvector for legal precedent matching. 𝗦𝘁𝗮𝘆𝗦𝗾𝘂𝗶𝗿𝗲 handles hotel reception calls - booking inquiries, room availability, guest requests. Retell for voice, n8n workflows for automation, webhook integrations with property management systems. 𝗛𝗼𝘄 𝗜 𝘄𝗼𝗿𝗸 I take on Voice AI agents, RAG systems, and AI MVPs. I'm useful when you're past the "exploring AI" phase and need something deployed. Less useful if you're still figuring out whether AI makes sense - though I'm happy to tell you if it doesn't. Most of my projects are $2K–25K and take 2–6 weeks. I don't disappear mid-project, I document everything, and I build with handoff in mind so you're not dependent on me forever. 𝗧𝗲𝗰𝗵 𝗜 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜: VAPI, Retell, Twilio, Bland, ElevenLabs, OpenAI Whisper, OpenAI TTS, Deepgram 𝗥𝗔𝗚 & 𝗟𝗟𝗠𝘀: LangChain, LangGraph, LlamaIndex, OpenAI, Claude, Gemini, Cohere, pgvector, Qdrant, Pinecone, Elasticsearch 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: Python, FastAPI, Node.js, TypeScript, PostgreSQL, Redis, Supabase 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: React, Next.js, Tailwind CSS 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: n8n, Make, Zapier, GoHighLevel, HubSpot, Google Calendar, Stripe, WhatsApp Business API 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: AWS, GCP, Vercel, Railway, Docker 𝗪𝗵𝗮𝘁 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝘀𝗮𝘆 "Fraz is excellent to work with. Fast, thorough, and quick to accept feedback. His team is great, and we have loved working with them to create multiple software solutions. Fantastic Upwork contractor." — Matt Gray, Founder @ Hazard House If any of this sounds relevant, message me with what you're building. I respond within 30 minutes and I'll tell you honestly whether I can help.