Hire the Best Automatic Speech Recognition Freelancers
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I help startups, SaaS companies, and enterprise teams automate workflows, improve knowledge retrieval, and deploy production AI systems that deliver measurable business outcomes. I build production-grade AI agents, multi-agent systems, and RAG platforms that remain reliable in production long after deployment. Verified Upwork track record: 147 jobs delivered, 7,000+ hours, 100% Job Success, Top Rated, 5.0 across 133 reviews. — What I specialize in — Plenty of AI developers can wire up a chatbot. I focus on building AI systems that solve real business problems and hold up in production. • AI agents & multi-agent systems — orchestration, tool calling, LangGraph • Advanced RAG — hybrid search, GraphRAG, reranking, hallucination control, RAGAS evaluation • LLM applications & copilots, including MCP (Model Context Protocol) integrations • Fine-tuning (LoRA / QLoRA / PEFT) and inference optimization • A full ML / CV / NLP foundation underneath, so I solve the problem the way it actually needs solving — not just the way that fits one tool — Recent work — • HirePilot AI — an AI-native talent marketplace (SaaS) running the full hiring pipeline: candidate matching, resume parsing, technical assessments, interview management, and recruiter verification across dedicated candidate, employer, recruiter, and admin portals. The platform processes thousands of candidate profiles and reduces manual screening from hours to minutes. • Enterprise multi-agent GraphRAG platform unifying documents, databases, Jira, and Confluence with hybrid retrieval, graph reasoning, and answer verification. RAGAS-based evaluation improved answer quality by more than 25% while significantly reducing hallucinations across thousands of enterprise documents. • SmartSupportAI — an intelligent customer-support system (n8n, Gemini, Pinecone, Google Drive) that automatically detects new and updated manuals, FAQs, and knowledge-base content, keeping answers aligned with the latest documentation. Reduced document search time by approximately 75% and eliminated a large portion of repetitive support queries. • MCP-based financial research assistant with custom MCP servers integrating market data, news, and technical indicators, enabling multi-agent research workflows and faster investment analysis. • Multi-agent healthcare assistant automating patient workflows including department routing, appointment booking and modification, prescription explanations, patient-history retrieval, and seamless human escalation. • Medical image segmentation for cancer detection using deep learning, achieving strong validation performance, alongside an OCR and computer-vision pipeline for extracting measurements from architectural and construction drawings. Domains delivered in: recruitment, healthcare, finance, e-commerce, IoT, and manufacturing. — Why clients hire me, and rehire me — When you hire me, you work directly with the engineer building the solution. • 147 completed projects backed by a 100% Job Success Score • Production deployments that continue delivering value after handoff • Direct technical ownership from architecture through deployment • Fast iteration with working prototypes delivered early • Honest scoping — I'll tell you when AI isn't the right answer before you spend money on it — Tech — Python, LangGraph / LangChain, n8n, OpenAI / Claude / Gemini, MCP, Pinecone / Weaviate / FAISS, Neo4j, FastAPI, Docker, AWS / Azure / GCP. — Let's talk — If you need an AI agent, MCP integration, production RAG platform, or custom LLM application, send me a message describing the problem you're trying to solve. I'll tell you how I'd approach it, what I'd recommend, and whether I'm the right fit for the project.

Deployed multiple AI products. Sub-200ms voice agent latency. 5x LangGraph optimization for Multi-Agent AI systems. See everything at - devbhangale.vercel.app You get one engineer who handles the AI, the backend, and the frontend. No handoffs. No coordination overhead. Just a complete system that ships. 🤖 AI Chatbots and Customer Support Agents- You get a LangGraph and LangChain-powered conversational agent with memory, tool calling, fallback handling, and a working eval harness baked in. Your bot handles real traffic, routes edge cases, and gives you measurable accuracy before it goes live. Integrates with OpenAI API, Gemini API, and Claude API depending on your latency and cost targets. 🧠 Multi-Agent AI Workflows- You get complex autonomous pipelines built with LangGraph, AgentSDK and CrewAI for research automation, financial analysis, document processing, and multi-step business decision workflows. Includes human-in-the-loop checkpoints, state management, and structured output generation. 🎙️ Voice AI Agents- You get a real-time inbound and outbound voice pipeline with sub-200ms response latency built on LiveKit and Google Cloud Vertex AI. It handles calls, qualifies leads, books appointments, and updates your CRM without a human on the other end. Powered by Deepgram STT, ElevenLabs or Sarvam AI TTS, and OpenAI Realtime API. 📚 RAG Systems and Knowledge Bases- You get a production Retrieval-Augmented Generation pipeline built on Qdrant with chunking strategy, semantic embeddings, hybrid search, and retrieval accuracy benchmarking. Your documents, product catalog, or internal knowledge base becomes queryable and accurate. Your team stops digging through PDFs. 🌐 Full-Stack Web Applications- You get a Next.js 15 (React 19) and FastAPI and PostgreSQL application with clean architecture and a UI that does not look assembled from a template. From MVP to production-grade SaaS with role-based access, multi-tenant support, and WebSocket-powered real-time features. 📈 Algorithmic Trading Systems- You get end-to-end trading pipelines integrated with live exchange APIs covering strategy backtesting, live signal execution, real-time data ingestion, and performance analytics dashboards. Notable builds: → Astrophage: LangGraph Vedic astrology AI platform. Reduced agent response time from 30 seconds to 6 seconds through a 5-node pipeline redesign. Qdrant RAG, Gemini Live API voice, 12 bound tools, multilingual support. Live at astrophageai.vercel.app → AI Voice Agent Platform: Sub-200ms real-time voice pipeline using LiveKit and GCP Vertex AI with SFU region pinning for Indian market latency. Deepgram STT, Sarvam AI TTS, WebSocket audio streaming. → FinAI: Multi-agent chartered accountant assistant using CrewAI. Automates capital gains (FIFO), HRA calculation, ITR schema mapping, and tax regime comparison with structured report generation. → InwiseIt: Production SaaS invoice platform with Next.js 15, FastAPI, PostgreSQL, role-based access, and shadcn/ui component architecture. → AI Ticketing System: LLM-powered triage system with automatic classification, priority scoring, and CRM handoff for business clients. → Algorithmic Trading Pipelines: Live exchange API integration with real-time signal execution, backtesting engine, and performance analytics. ⚙️ Tech Expertise: AI Agents and Orchestration: LangGraph, LangChain, CrewAI, Pydantic AI, OpenAI API, Gemini API, Claude API, AutoGen, LlamaIndex Voice AI: LiveKit, Google Cloud Vertex AI, OpenAI Realtime API, ElevenLabs, Deepgram, Retell AI, Vapi, Whisper, Sarvam AI RAG and Vector Search: Qdrant, Pinecone, ChromaDB, FAISS, semantic embeddings, hybrid search, document ingestion pipelines, retrieval benchmarking Chatbot Development: multi-turn conversation, tool calling, memory systems, structured outputs, function calling, LLM eval harnesses, prompt engineering Full-Stack Web: Next.js 15, React 19, FastAPI, PostgreSQL, Tailwind CSS, shadcn/ui, TypeScript, WebSockets, REST APIs Algorithmic Trading: live exchange API integration, strategy backtesting, real-time data ingestion, signal execution pipelines Deployment and Infrastructure: Docker, Vercel, GCP, AWS, Railway, async pipelines LLM Evaluation and Observability: eval harnesses, accuracy benchmarking, prompt testing, production monitoring, LangSmith

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

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 𝟴+ 𝗬𝗲𝗮𝗿𝘀 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗥𝗮𝘁𝗲 → Top 1% Freelancer on Upwork with $40K+ in total earnings → 100% Job Success Rate verified across 80+ successfully completed projects → Top 4% overall contributor on Stack Overflow → AWS & Python Certified | Enterprise Architect | Available 50+ hours per week Greetings! I am Mahima Khera, a seasoned AI Engineer and Full-Stack Architect with over 8+ years of professional development experience. I specialize in bridging the gap between cutting-edge AI research and production-grade software. I handle the entire lifecycle from fine-tuning open-weight models and designing complex multi-agent orchestration to building robust backends, vector databases, and responsive Next.js user interfaces. 𝗖𝗼𝗿𝗲 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗜 𝗢𝗳𝗳𝗲𝗿 → Autonomous Multi-Agent Systems: Building stateful, deterministic enterprise workflows designed with LangGraph, CrewAI, and AutoGen to execute complex business logic flawlessly. → Production-Grade Voice AI Agents: Architecting ultra-low latency, real-time conversational streaming applications utilizing LiveKit, Vapi, and Deepgram APIs. → Advanced RAG & GraphRAG Pipelines: Engineering complex corporate knowledge graphs and multi-stage reranking engines (LlamaIndex & LangChain) to completely eliminate model hallucinations. → Full-Stack GenAI Applications: Developing clean, premium Next.js and React frontends powered by highly scalable Python (FastAPI, Django) and Node.js microservices. → LLM Fine-Tuning & Cost Optimization: Fine-tuning models like DeepSeek-R1 and Llama 3 using Unsloth, Axolotl, and PEFT/LoRA to slash external API dependency costs by up to 70%. 𝗗𝗲𝗲𝗽 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 → GenAI & Orchestration: LangGraph | LangChain | CrewAI | LlamaIndex | Model Context Protocol (MCP) | Prompt Engineering → Cloud AI & Foundations: AWS Bedrock | AWS SageMaker | OpenAI API | Anthropic Claude | HuggingFace → Open-Weight LLMs & Inference: DeepSeek-R1 | Llama 3.x/4 | Mistral | vLLM | TensorRT-LLM | Quantization (GGUF, AWQ) → Vector Stores & Databases: Qdrant | Pinecone | Weaviate | Milvus | PostgreSQL (pgvector) | Redis Caching → Backend & Data Pipelines: Python (FastAPI, Django, Flask) | Node.js (Nest.js, Express) | Celery Task Queues | Web Scraping (Playwright) → Frontend & Mobile: Next.js | React.js | TypeScript | Tailwind CSS | React Native for Cross-Platform Apps → DevOps & LLMOps: Docker | Kubernetes | Langfuse | Arize Phoenix | GitLab CI/CD | AWS EC2 / S3 / Lambda With an 8-year track record of engineering highly technical products, I excel at turning complex AI concepts into maintainable, commercial-grade software that solves actual business bottlenecks. Let’s build something incredible. Introduce your project or invite me to apply! Warm regards, Mahima Khera

I am not just an AI Engineer; I am a storyteller who connects the dots between complex data and business growth. With 5 years of hands-on experience and a robust academic foundation in Statistics and Engineering, I specialize in building AI systems that don't just work they innovate. Why work with me? I don’t just deliver code; I translate your high-level business needs into high-performing, production-ready AI systems that solve real-world bottlenecks. My Core Expertise: - AI Solutions: Text analysis & image recognition - AI Search: Smarter answers with RAG & advanced prompt design - Custom AI Models: Tailored GPT, Gemini, LLaMA, Claude & more - Vibe Coding: Cursor, Lovable, Antigravity, etc.. - AI Workflows: Multi-agent automation for complex tasks - Voice AI: Text-to-speech & speech-to-text (AWS, Google, Azure) - AI Visuals: From idea to image using DALL·E, Midjourney, Stable Diffusion - Automation: Zapier, Make, n8n & custom workflows - Smart Pipelines: Event-driven triggers, error handling & smooth operations AI Agents & Chatbots: I build sophisticated multi-agent and RAG frameworks. Examples include E-commerce virtual associates that drive sales and POS customer support agents that handle complex queries autonomously. Text-to-SQL & Analytics: I enable non-technical users to "talk to their data," providing instant, natural-language insights into sales, inventory, and KPIs. Intelligent Automation (n8n): I streamline operations by eliminating repetitive tasks. My AI-powered HR Agent workflow automatically parses, scores, and ranks candidates to find your "best fit" instantly. Computer Vision & OCR: Expert in YOLO and Qwen2.5-VL. I automate data entry from handwritten or digital invoices directly into structured JSON for accounting and inventory software. Full-Stack AI Deployment: I take models from notebooks to production. Expert in the full AI lifecycle, including MLOps, containerization (Docker), and scalable cloud deployment on GCP. The Toolbox: Frameworks: PyTorch, Keras, TensorFlow, Scikit-learn, OpenCV. LLM Ops & Orchestration: LangChain, LangFlow, DSPy, OpenAI API, Apple MLX. Deployment: Docker, GCP, MLOps pipelines. I am dedicated to delivering results that exceed expectations always on time and within budget. Let’s build your success story. Click the 'Invite' button to start a conversation!

I build AI voice agent systems that run in production - not demos, not wrappers around Vapi dashboards. Custom STT/LLM/TTS pipelines, sub-500ms latency, real telephony infrastructure handling real call volumes. 7+ years in software development. 4+ years building production AI voice systems. Core team member on live AI platforms handling 45,000+ voice calls per day across 400+ telephony channels. Most clients come to me when: - They need an AI voice agent that works in production, not just in a sandbox - Their current Vapi or Retell setup hits limitations and needs custom engineering - They need inbound and outbound calling with real CRM integration and workflow automation - They are building for healthcare, recruitment, or high-volume calling use cases - They need omnichannel AI - voice, WhatsApp, SMS, and email in one system I build the system end to end. Architecture, pipeline, integrations, deployment. WHAT I HAVE BUILT IN PRODUCTION AI Recruitment Voice Platform (live): 45,000 AI voice calls per day. 400+ telephony channels. Bi-directional WebSocket for real-time audio. LLM-powered candidate screening, resume parsing, and interview automation. Custom voice infrastructure - not a Vapi wrapper. AI Voice and Call Automation Platform (live): Outbound and inbound AI voice agents for sales, support, and onboarding. Full demo available on request. Real-Time AI Video Agent (live): Face-to-face AI video agents with photorealistic avatars. Sub-200ms voice response latency using LiveKit with custom STT/LLM/TTS pipeline. Healthcare Call Automation (live): AI voice assistant for patient intake, appointment scheduling, and medical triage over telephone. Built for healthcare providers needing 24/7 call handling. Omnichannel AI Platform (live): Voice agents, chatbots, and automated campaigns across WhatsApp, Email, SMS, and Voice - unified in one system. AI CALLING AND VOICE SYSTEMS - Inbound AI voice agents: receptionist, customer support, patient intake - Outbound AI calling: lead qualification, appointment setting, follow-up campaigns - Custom STT/LLM/TTS pipelines with sub-500ms latency - Vapi, Retell AI, Bland AI, LiveKit, Twilio integration and customization - WebRTC-based voice agents for browser-native deployment - Multi-turn conversation design with human handoff logic AUTOMATION AND INTEGRATIONS - CRM integration and automated lead tracking - n8n and Make workflow automation - WhatsApp, SMS, and email follow-up sequences - Webhook-based real-time event handling - API integrations with any third-party system TECH STACK AI/Voice: Vapi, Retell AI, Bland AI, LiveKit, Twilio, WebRTC, OpenAI, Deepgram, ElevenLabs Automation: n8n, Make, Webhooks, REST APIs Backend: NodeJS, Python, Java, Go Frontend: React, NextJS Database: PostgreSQL, MongoDB Cloud: AWS, Azure, GCP HOW I WORK I focus on systems that work under real business conditions. Before building, I map the full call flow, edge cases, and integration requirements. Architecture stays clean so the system scales when call volumes grow. Live portfolio with working demos available in the Portfolio section of this profile. If you are building an AI voice agent, an outbound calling system, a healthcare call automation platform, or a recruitment AI pipeline - send me your requirements. I will respond the same day with a technical approach. - Milan Keywords: AI Voice Agent Developer, AI Voice Agent, Vapi Developer, Twilio Developer, Retell AI Developer, LiveKit Developer, WebRTC Developer, Conversational AI Developer, AI Chatbot Developer, n8n Developer, Workflow Automation, LLM Integration, OpenAI Integration, Healthcare Voice AI, AI Recruitment Automation, Omnichannel AI, Speech to Text, Text to Speech, AI Calling System, Outbound AI Dialer, Inbound AI Receptionist, CRM Integration, API Integration, Appointment Scheduling AI, AI Sales Agent, Make Automation, NodeJS Developer, Python Developer, Webhook Automation, Natural Language Processing, Voice Pipeline Developer, Sub-500ms Latency AI, AI Interview Automation, Deepgram Integration, Bland AI Developer